Barrack: the place for stuff connected to archery

bowyer

Lazyness facility for converting a tree of a MutableMappping type in another one::

>>> from archery.barrack import bowyer
>>> from archery.bow import Daikyu
>>> a=bowyer(Daikyu,{'a':{'b':{'c' : [ 1, 2 ] }}, 'c' : 3.3})
>>> a*2
{'a': {'b': {'c': [1, 2, 1, 2]}}, 'c': 6.6}

It works also with lambda a_tree:defaultdict(int,a_tree) instead od Daikyu:

mapping_row_iter

My secret weapon for transforming dict in CSV:

>>> from archery.barrack import mapping_row_iter
>>> [ x for x in mapping_row_iter({
...     "john" : {'math':10.0, 'sport':1.0},
...     "lily" : { 'math':20, 'sport':15.0}
... })]
[['john', 'sport', 1.0], ['john', 'math', 10.0],
['lily', 'sport', 15.0], ['lily', 'math', 20]]