[Article] update to Zattera's slot machine

[Labyrinthinesecurity]

I'm not much into Python, so I cannot check the code, I'm sorry.

I haven't yet understood which are the final 3 slot grammars which are compared, Model A, B and C. Can you post their stucture? Ie. Slot1 = ['q', ch', sh'] Slot2 = [..], something like that?

All 3 models share the same structure: 
Slot1 = ['q', 'ch', 'sh', 'cth', 'ckh', 'cph', 'cfh', '']
Slot2 = ['e', '']
Slot3 = ['e', '']
Slot4 = ['o', 'a', '']
Slot5 = ['i', 'ii', 'iii', 'iiii', '']
Slot6 = ['l', 'r', 'd', 'n', 'm', 's', 't', 'k', 'p', 'f', '']
Slot7 = ['y', '']

Here are the main differences:

• A: all slot combinations treated as chunks
  
• B (Zattera, one loop): slot sequence as a single-pass automaton (one pass through the 7-slot sequence, then training removes edges to improve F1 as Zattera did, Output words are paths through the slot chain)
  
• C (Zattera, 2 loops): slot sequence as a two-pass automaton