Creates human readable names for hashes
Python
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README
animals.list
colors.list
locations.list
namegen.py

README

Hashes to name generator and parser
===================================

Uses three lists:

* List of colors, distilled from doloreslabs color names v1 (see
  http://blog.doloreslabs.com/?p=17, now at 
  http://web.archive.org/web/20120828112952/http://blog.doloreslabs.com/?p=17). 
  Used last word for each color, cleaned mispellings by hand.

* List of animals, distilled from WordNet 3.0 (wn animal -treen,
  you'll need to patch your binary to see the whole output). Kept all
  animals that were only one word. One animal per synset, first
  one-word synonym picked.

* List of locations, distilled from YAGO 2.0 (which in turn distilled
  it from Wikipedia and other sources), postprocessed from hasArea.tsv
  (dropped all locations that required non-printable characters).

It produces verbalizations in the form 'color' 'animal' # 'left-over
number' from 'location'.

It takes a hash in base 16 as argument. With the current lists, it can
represent up to 8 positions. 10 positions works fine with a few digits
number. If the hash is small, it will produce an animal, then
color+animal and finally color+animal from location before the full form.


Use the option --parse to obtain back the hash, the following shell
command should be an identity transformation:

$ python namegen.py `python namegen.py 62623831ab` --parse
62623831ab



EXAMPLES

(my GPG fingerprint)
$ python namegen.py 4A27AF6A
Mediumorchid-Shoebird-from-Arlay

(the first digits of the MD5 hash for animals.list)
$ python namegen.py c345a6a36972
Lawngreen-Archeopteryx-#55840-from-Augne