Given a YAML file or a JSON structure create a hierarchical object model.
Some would say this is just a dict-wrapper.
>>> a = '''obj:
... obj_list:
... - 1
... - 2
... - dog
... obj_dict:
... key_foo: bar
... key_spam: eggs
... '''
>>> b = clamg.loads(a)
>>> b.obj
<obj(obj_list=[1, 2, 'dog'], obj_dict=<obj_dict(key_foo=bar, key_spam=eggs)>)>
>>> j = '''{
... "obj": {
... "obj_list": [
... 1, 2, "dog"
... ],
... "obj_dict": {
... "key_foo":"bar",
... "key_spam":"eggs"
... }
... }
... }'''
>>> jl = json.loads(j)
>>> h = clamg.unpack(jl)
>>> h
<(obj=<obj(obj_list=[1, 2, 'dog'], obj_dict=<obj_dict(key_foo=bar, key_spam=eggs)>)>)>
It has occasionally proven useful when working with deeply nested structures.