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Anonymous datatype validation

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For full package documenation, please see:


>>> from datatype.validation import failures

>>> datatype = {'foo': [{'bar': 'int'}]}
>>> bad_value = {'foo': [{'bar': 'baz'}], 'bif': 'pow!'}

>>> failures(datatype, bad_value)
['unexpected property "bif"', 'foo[0].bar: expected int, got str']

Wildcard dictionary keys:

>>> datatype = {'_any_': ['int']}
>>> good_value = {'foo': [1, 2, 3], 'bar': [3, 4, 5]}

>>> failures(datatype, good_value)


>>> from datatype.coercion import coerce_value

>>> coerce_value(['str'], [1, 2, 3])
['1', '2', '3']

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