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CLassAttributeModelGenerator
Given a nested dict create a hierarchical object model.
Optionally provide models in YAML or JSON format.
Some would say this is just a dict-wrapper.
Example: Loading a nested dict
>>> data = dict(obj=dict(foo="bar", spam="eggs", a_list=[1,2,3]))
>>> data
{'obj': {'foo': 'bar', 'spam': 'eggs', 'a_list': [1, 2, 3]}}
>>> x = clamg.unpack(data)
>>> x
<clamg(obj=<obj(foo=bar, spam=eggs, a_list=[1, 2, 3])>)>
>>> x.obj.foo
'bar'
Example: Loading YAML
>>> SAMPLE_YAML = """\
... obj:
... yaml: yes
... foo: bar
... spam: eggs
... a_list:
... - 1
... - 2
... - 3
... """
>>> clamg.loads(SAMPLE_YAML)
<clamg(obj=<obj(yaml=True, foo=bar, spam=eggs, a_list=[1, 2, 3])>)>
Example: Loading JSON
>>> SAMPLE_JSON = '{"obj": {"json": "yes", "foo": "bar", "spam": "eggs", "a_list": [1,2,3]}}'
>>> clamg.loads(SAMPLE_JSON)
<clamg(obj=<obj(json=yes, foo=bar, spam=eggs, a_list=[1, 2, 3])>)>
It has occasionally proven useful when working with deeply nested structures.
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