Metadata-Version: 2.1
Name: munch
Version: 2.5.0
Summary: A dot-accessible dictionary (a la JavaScript objects)
Home-page: https://github.com/Infinidat/munch
Author: Rotem Yaari
Author-email: vmalloc@gmail.com
License: MIT
Keywords: munch,dict,mapping,container,collection
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Software Development
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Utilities
Classifier: License :: OSI Approved :: MIT License
Description-Content-Type: text/markdown
Requires-Dist: six
Provides-Extra: testing
Requires-Dist: pytest ; extra == 'testing'
Requires-Dist: coverage ; extra == 'testing'
Requires-Dist: astroid (~=1.5.3) ; (python_version == "2.7") and extra == 'testing'
Requires-Dist: pylint (~=1.7.2) ; (python_version == "2.7") and extra == 'testing'
Requires-Dist: astroid (>=2.0) ; (python_version >= "3.4") and extra == 'testing'
Requires-Dist: pylint (~=2.3.1) ; (python_version >= "3.4") and extra == 'testing'
Provides-Extra: yaml
Requires-Dist: PyYAML (>=5.1.0) ; extra == 'yaml'

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munch
==========

munch is a fork of David Schoonover's **Bunch** package, providing similar functionality. 99% of the work was done by him, and the fork was made mainly for lack of responsiveness for fixes and maintenance on the original code.

Munch is a dictionary that supports attribute-style access, a la JavaScript:

```python

>>> b = Munch()
>>> b.hello = 'world'
>>> b.hello
'world'
>>> b['hello'] += "!"
>>> b.hello
'world!'
>>> b.foo = Munch(lol=True)
>>> b.foo.lol
True
>>> b.foo is b['foo']
True

```


Dictionary Methods
------------------

A Munch is a subclass of ``dict``; it supports all the methods a ``dict`` does:

```python

>>> list(b.keys())
['hello', 'foo']

```

Including ``update()``:

```python

>>> b.update({ 'ponies': 'are pretty!' }, hello=42)
>>> print(repr(b))
Munch({'hello': 42, 'foo': Munch({'lol': True}), 'ponies': 'are pretty!'})

```

As well as iteration:

```python

>>> [ (k,b[k]) for k in b ]
[('hello', 42), ('foo', Munch({'lol': True})), ('ponies', 'are pretty!')]

```

And "splats":

```python

>>> "The {knights} who say {ni}!".format(**Munch(knights='lolcats', ni='can haz'))
'The lolcats who say can haz!'

```


Serialization
-------------

Munches happily and transparently serialize to JSON and YAML.

```python

>>> b = Munch(foo=Munch(lol=True), hello=42, ponies='are pretty!')
>>> import json
>>> json.dumps(b)
'{"foo": {"lol": true}, "hello": 42, "ponies": "are pretty!"}'

```

If JSON support is present (``json`` or ``simplejson``), ``Munch`` will have a ``toJSON()`` method which returns the object as a JSON string.

If you have [PyYAML](http://pyyaml.org/wiki/PyYAML) installed, Munch attempts to register itself with the various YAML Representers so that Munches can be transparently dumped and loaded.

```python

>>> b = Munch(foo=Munch(lol=True), hello=42, ponies='are pretty!')
>>> import yaml
>>> yaml.dump(b)
'!munch.Munch\nfoo: !munch.Munch\n  lol: true\nhello: 42\nponies: are pretty!\n'
>>> yaml.safe_dump(b)
'foo:\n  lol: true\nhello: 42\nponies: are pretty!\n'

```

In addition, Munch instances will have a ``toYAML()`` method that returns the YAML string using ``yaml.safe_dump()``. This method also replaces ``__str__`` if present, as I find it far more readable. You can revert back to Python's default use of ``__repr__`` with a simple assignment: ``Munch.__str__ = Munch.__repr__``. The Munch class will also have a static method ``Munch.fromYAML()``, which loads a Munch out of a YAML string.

Finally, Munch converts easily and recursively to (``unmunchify()``, ``Munch.toDict()``) and from (``munchify()``, ``Munch.fromDict()``) a normal ``dict``, making it easy to cleanly serialize them in other formats.


Default Values
--------------

``DefaultMunch`` instances return a specific default value when an attribute is missing from the collection. Like ``collections.defaultdict``, the first argument is the value to use for missing keys:

```python

>>> undefined = object()
>>> b = DefaultMunch(undefined, {'hello': 'world!'})
>>> b.hello
'world!'
>>> b.foo is undefined
True

```

``DefaultMunch.fromDict()`` also takes the ``default`` argument:

```python

>>> undefined = object()
>>> b = DefaultMunch.fromDict({'recursively': {'nested': 'value'}}, undefined)
>>> b.recursively.nested == 'value'
True
>>> b.recursively.foo is undefined
True

```

Or you can use ``DefaultFactoryMunch`` to specify a factory for generating missing attributes. The first argument is the factory:

```python

>>> b = DefaultFactoryMunch(list, {'hello': 'world!'})
>>> b.hello
'world!'
>>> b.foo
[]
>>> b.bar.append('hello')
>>> b.bar
['hello']

```


Miscellaneous
-------------

* It is safe to ``import *`` from this module. You'll get: ``Munch``, ``DefaultMunch``, ``DefaultFactoryMunch``, ``munchify`` and ``unmunchify``.
* Ample Tests. Just run ``pip install tox && tox`` from the project root.

Feedback
--------

Open a ticket / fork the project on [GitHub](http://github.com/Infinidat/munch).