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A utility that makes it easy to use dot notation with python dictionaries

Project description

|waterbear\_is\_a\_bear| # ``waterbear``, A Utility That Makes Python
Dictionary Accessible With The Dot Notation, Recursively and with
Default Values

Now introducing the smallest bear! **Waterbear**.

Waterbear makes it easy to use python dictionaries with dot notation!


- [ ] merge ``python2.7`` version with ``python3``
- [ ] make another package called ``tardigrade``


.. code-block:: python

pip install waterbear # unfortuantely, tardigrade wouldn't work.


For more usage examples, take a look at the
` <>`__!

There are two classes, the ``Bear`` and the ``DefaultBear``. Default
Bear allows you to pass in a default factory as the first argument.
``Bear`` allows you do do so via a keyword argument ``__default``

Example usage below:

.. code-block:: python

# Waterbear is a bear!
from waterbear import Bear

waterbear = Bear(**{"key": 100})
assert waterbear.key == 100, 'now waterbear.key is accessible!'
assert waterbear['key'] == 100, 'item access syntax is also supported!'

Similar to ``collection.defaultdict``, there is ``DefaultBear``

.. code-block:: python

bear = DefaultBear(None, a=10, b=100)
assert vars(bear) == {'a': 10, 'b': 100}

assert bear.does_not_exist is None, "default value works"

and it also supports default factories

.. code-block:: python

bear = DefaultBear(tuple, a=10, b=100)
assert bear.does_not_exist is (), "default factory also works!"

You can also use it with ``vars``, ``str``, ``print(repr)``, ``dict`` etc.

.. code-block:: python

bear = Bear(a=10, b=100)
assert str(bear) == "{'a': 10, 'b': 100}"
assert dir(bear) == ['a', 'b']
assert list(iter(bear)) == ['a', 'b']
assert dict(bear) == {'a': 10, 'b': 100}

More Usages Could be Found in ` <>`__!

.. code-block:: python

test_dict = {
'a': 0,
'b': 1

# Use spread operators to construct with a dictionary!
test_args = Bear(**test_dict)
assert test_args.a == 0
assert test_args.b == 1
# the value should now be accessible through the key name.
test_args.haha = 0
assert test_args.haha == 0

# You can also use a nested dictionary.
test_args.haha = {'a': 1}
assert test_args.haha != {'a': 1}
assert vars(test_args.haha) == {'a': 1}
assert test_args.haha.a == 1
assert test_args.__dict__['haha']['a'] == 1
assert vars(test_args)['haha']['a'] == 1
assert str(test_args) == "{'a': 0, 'b': 1, 'haha': {'a': 1}}", \
'test_args should be this value "{\'a\': 0, \'b\': 1, \'haha\': {\'a\': 1}}"'

# To set recursion to false, use this `__recursive` parameter.
test_args = Bear(__recursive=False, **test_dict)
assert test_args.__is_recursive == False
assert test_args.a == 0
assert test_args.b == 1
test_args.haha = {'a': 1}
assert test_args.haha['a'] == 1
assert test_args.haha == {'a': 1}

# Some other usage patterns
test_args = Bear(**test_dict, **{'ha': 'ha', 'no': 'no'})
assert test_args.ha == 'ha', 'key ha should be ha'

To Develop

.. code-block:: python

git clone
cd waterbear
make dev

This ``make dev`` command should build the wheel and install it in your
current python environment. Take a look at the
` <>`__ for details.

**To publish**, first update the version number, then do:

.. code-block:: bash

make publish

\* image credit goes to BBC `waterbear: The Smallest
Bear! <>`__
😛 |tardigrade|

.. |waterbear\_is\_a\_bear| image::
.. |tardigrade| image::

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