disco-dance / gqylpy-dict

`gqylpy-dict` is based on the built-in `dict` and serves as an enhancement to it. It can do everything the built-in `dict` can do, and even more.

gqylpy-dict

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gqylpy-dict is based on the built-in dict and serves as an enhancement to it. It can do everything the built-in dict can do, and even more. (Designed specifically for the neurologically diverse)

pip3 install gqylpy_dict

>>> from gqylpy_dict import gdict

>>> gdict == dict
True

>>> gdict is dict
False

>>> x = {'a': [{'b': 'B'}]}
>>> x = gdict(x)
>>> x.a[0].b
'B'

>>> x.deepget('a[0].b')
'B'

Let's delve deeper into the functionalities and usages of the gdict class.

Firstly, the gdict class is a custom dictionary class that inherits from Python's built-in dict class. A special feature of gdict is its support for accessing and modifying key-value pairs in the dictionary using dot notation (.). This means we can access dictionary values as if they were object attributes. For instance, given a dictionary {'name': 'Tom', 'age': 25}, we can define a gdict object as follows:

my_dict = gdict({'name': 'Tom', 'age': 25})

Using dot notation, we can access the dictionary values:

my_dict.name  # 'Tom'
my_dict.age  # 25

We can even modify the dictionary values:

my_dict.name = 'Jerry'

At this point, the value associated with the 'name' key in the dictionary has been changed to 'Jerry'.

Additionally, gdict supports multi-level nested data structures, meaning the keys and values stored in a gdict object can also be dictionaries. For example:

my_dict = gdict({
    'personal_info': {'name': 'Tom', 'age': 25},
    'work_info': {'company': 'ABC Inc.', 'position': 'Engineer'}
})

We can access and modify values in nested dictionaries:

my_dict.personal_info.name  # 'Tom'
my_dict.work_info.position = 'Manager'

Aside from dot notation, we can also access and modify values in a gdict object using traditional dictionary access methods:

my_dict['personal_info']['name']  # 'Tom'
my_dict['work_info']['position'] = 'Manager'

Lastly, the gdict class supports various input formats during instantiation:

my_dict = gdict({'name': 'Tom', 'age': 25})
my_dict = gdict(name='Tom', age=25)
my_dict = gdict([('name', 'Tom'), ('age', 25)])

In summary, the design and implementation of the gdict class provide a convenient and extensible data structure that allows for more flexible manipulation of Python dictionary objects.