graphrag-ollama/lib/python3.12/site-packages/anytree-2.12.1.dist-info/METADATA

Metadata-Version: 2.1
Name: anytree
Version: 2.12.1
Summary: Powerful and Lightweight Python Tree Data Structure with various plugins
License: Apache-2.0
Keywords: tree,tree data,treelib,tree walk,tree structure
Author: c0fec0de
Author-email: c0fec0de@gmail.com
Requires-Python: >=3.7.2,<4
Classifier: Development Status :: 5 - Production/Stable
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Dist: six
Description-Content-Type: text/x-rst

.. image:: https://badge.fury.io/py/anytree.svg
    :target: https://badge.fury.io/py/anytree

.. image:: https://img.shields.io/pypi/dm/anytree.svg?label=pypi%20downloads
   :target: https://pypi.python.org/pypi/anytree

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    :target: https://anytree.readthedocs.io/en/latest/?badge=latest

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    :target: https://coveralls.io/github/c0fec0de/anytree

.. image:: https://readthedocs.org/projects/anytree/badge/?version=stable
    :target: https://anytree.readthedocs.io/en/stable

.. image:: https://api.codeclimate.com/v1/badges/e6d325d6fd23a93aab20/maintainability
   :target: https://codeclimate.com/github/c0fec0de/anytree/maintainability
   :alt: Maintainability

.. image:: https://img.shields.io/pypi/pyversions/anytree.svg
   :target: https://pypi.python.org/pypi/anytree

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   :target: https://www.python.org/dev/peps/pep-0008/

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   :target: https://www.python.org/dev/peps/pep-0257/

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   :target: https://www.pylint.org/

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   :target: https://github.com/psf/black

.. image:: https://img.shields.io/github/contributors/c0fec0de/anytree.svg
   :target: https://github.com/c0fec0de/anytree/graphs/contributors/

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   :target: http://makeapullrequest.com

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   :target: https://github.com/c0fec0de/anytree/pulls

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   :target: https://github.com/c0fec0de/anytree/pulls?q=is%3Apr+is%3Aclosed


Links
=====

* Documentation_
* PyPI_
* GitHub_
* Changelog_
* Issues_
* Contributors_
* If you enjoy anytree_

.. image:: https://github.com/c0fec0de/anytree/raw/devel/docs/static/buymeacoffee.png
   :target: https://www.buymeacoffee.com/1oYX0sw

.. _anytree: https://anytree.readthedocs.io/en/stable/
.. _Documentation: https://anytree.readthedocs.io/en/stable/
.. _PyPI: https://pypi.org/project/anytree
.. _GitHub: https://github.com/c0fec0de/anytree
.. _Changelog: https://github.com/c0fec0de/anytree/releases
.. _Issues: https://github.com/c0fec0de/anytree/issues
.. _Contributors: https://github.com/c0fec0de/anytree/graphs/contributors

.. _Node: https://anytree.readthedocs.io/en/stable/api/anytree.node.html#anytree.node.node.Node
.. _RenderTree: https://anytree.readthedocs.io/en/stable/api/anytree.render.html#anytree.render.RenderTree
.. _UniqueDotExporter: https://anytree.readthedocs.io/en/stable/exporter/dotexporter.html#anytree.exporter.dotexporter.UniqueDotExporter
.. _NodeMixin: https://anytree.readthedocs.io/en/stable/api/anytree.node.html#anytree.node.nodemixin.NodeMixin
.. _Importers: https://anytree.readthedocs.io/en/stable/importer.html
.. _Exporters: https://anytree.readthedocs.io/en/stable/exporter.html

Getting started
---------------

.. _getting_started:

Usage is simple.

**Construction**

>>> from anytree import Node, RenderTree
>>> udo = Node("Udo")
>>> marc = Node("Marc", parent=udo)
>>> lian = Node("Lian", parent=marc)
>>> dan = Node("Dan", parent=udo)
>>> jet = Node("Jet", parent=dan)
>>> jan = Node("Jan", parent=dan)
>>> joe = Node("Joe", parent=dan)

**Node**

>>> print(udo)
Node('/Udo')
>>> print(joe)
Node('/Udo/Dan/Joe')

**Tree**

>>> for pre, fill, node in RenderTree(udo):
...     print("%s%s" % (pre, node.name))
Udo
├── Marc
│   └── Lian
└── Dan
    ├── Jet
    ├── Jan
    └── Joe

For details see Node_ and RenderTree_.

**Visualization**

>>> from anytree.exporter import UniqueDotExporter
>>> # graphviz needs to be installed for the next line!
>>> UniqueDotExporter(udo).to_picture("udo.png")

.. image:: https://anytree.readthedocs.io/en/latest/_images/udo.png

The UniqueDotExporter_ can be started at any node and has various formatting hookups:

>>> UniqueDotExporter(dan,
...                   nodeattrfunc=lambda node: "fixedsize=true, width=1, height=1, shape=diamond",
...                   edgeattrfunc=lambda parent, child: "style=bold"
... ).to_picture("dan.png")

.. image:: https://anytree.readthedocs.io/en/latest/_images/dan.png

There are various other Importers_ and Exporters_.

**Manipulation**

A second tree:

>>> mary = Node("Mary")
>>> urs = Node("Urs", parent=mary)
>>> chris = Node("Chris", parent=mary)
>>> marta = Node("Marta", parent=mary)
>>> print(RenderTree(mary))
Node('/Mary')
├── Node('/Mary/Urs')
├── Node('/Mary/Chris')
└── Node('/Mary/Marta')

Append:

>>> udo.parent = mary
>>> print(RenderTree(mary))
Node('/Mary')
├── Node('/Mary/Urs')
├── Node('/Mary/Chris')
├── Node('/Mary/Marta')
└── Node('/Mary/Udo')
    ├── Node('/Mary/Udo/Marc')
    │   └── Node('/Mary/Udo/Marc/Lian')
    └── Node('/Mary/Udo/Dan')
        ├── Node('/Mary/Udo/Dan/Jet')
        ├── Node('/Mary/Udo/Dan/Jan')
        └── Node('/Mary/Udo/Dan/Joe')

Subtree rendering:

>>> print(RenderTree(marc))
Node('/Mary/Udo/Marc')
└── Node('/Mary/Udo/Marc/Lian')

Cut:

>>> dan.parent = None
>>> print(RenderTree(dan))
Node('/Dan')
├── Node('/Dan/Jet')
├── Node('/Dan/Jan')
└── Node('/Dan/Joe')

**Extending any python class to become a tree node**

The entire tree magic is encapsulated by NodeMixin_
add it as base class and the class becomes a tree node:

>>> from anytree import NodeMixin, RenderTree
>>> class MyBaseClass(object):  # Just an example of a base class
...     foo = 4
>>> class MyClass(MyBaseClass, NodeMixin):  # Add Node feature
...     def __init__(self, name, length, width, parent=None, children=None):
...         super(MyClass, self).__init__()
...         self.name = name
...         self.length = length
...         self.width = width
...         self.parent = parent
...         if children:
...             self.children = children

Just set the `parent` attribute to reflect the tree relation:

>>> my0 = MyClass('my0', 0, 0)
>>> my1 = MyClass('my1', 1, 0, parent=my0)
>>> my2 = MyClass('my2', 0, 2, parent=my0)

>>> for pre, fill, node in RenderTree(my0):
...     treestr = u"%s%s" % (pre, node.name)
...     print(treestr.ljust(8), node.length, node.width)
my0      0 0
├── my1  1 0
└── my2  0 2

The `children` can be used likewise:

>>> my0 = MyClass('my0', 0, 0, children=[
...     MyClass('my1', 1, 0),
...     MyClass('my2', 0, 2),
... ])

>>> for pre, fill, node in RenderTree(my0):
...     treestr = u"%s%s" % (pre, node.name)
...     print(treestr.ljust(8), node.length, node.width)
my0      0 0
├── my1  1 0
└── my2  0 2

Documentation
-------------

Please see the Documentation_ for all details.

Installation
------------

To install the `anytree` module run::

    pip install anytree

If you do not have write-permissions to the python installation, try::

    pip install anytree --user