wordhasher 0.2.0

Make comparing hashes more human friendly by using verb-adj-noun format.

WordHasher

Hashes are cool. But gosh they are ugly to read...

Let's convert them to verb-noun-adjective form to be more human friendly!

We are going to use WordNet to get some words and hashlib to get some hashes.

Example

>>> from wordhasher import WordHasher
>>> wh = WordHasher()
>>> print(wh)
WordHasher:
     nouns: 9698
adjectives: 3644
     verbs: 2872
>>> wh.from_str('This is a test.') 
catnap-abatic-upshot
>>> wh.from_str(__file__)
syphon-abashed-decidua
>>> wh.sample()
keep-vain-smugness-247
>>> wh.sample(mode="an")
inviting-patrial
>>> wh.sample(mode="anN")
unsaved-asshole-908

Credits

Princeton University "About WordNet." WordNet. Princeton University. 2010.