FastEfficiency vector failure

[dim-geo]

Hi, I cannot use FastEfficiency. Something is not initialized properly.
I can provide corpus if needed...

Also, what's the point of exp_par? What is a sane value?
Thanks for this library! I try to create a t9 optimized keyboard...

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In [1]: %pylab
Using matplotlib backend: Qt4Agg
Populating the interactive namespace from numpy and matplotlib

In [2]: from dodona import core, keyboards, wordlists

In [3]: from copy import deepcopy

In [4]: import time

In [5]: import numpy as np

In [6]: from multiprocessing import Pool

In [7]: dictionary = open('greek_corpus', 'r')

In [8]: 

In [8]: greek=                  'αάβγδεέζηήθιίϊΐκλμνξοόπρσςτυύΰϋφχψωώ'

In [9]: english_mapping_for_t9= 'aabcdeefhhgiiiikljnmooprsqtuuuuyxzww'

In [10]: wordlist = core.WordList()

In [11]: 

In [11]: 

In [11]: trans_table = str.maketrans(greek, english_mapping_for_t9)

In [12]: for line in dictionary:
   ....:       word,frequency=line.split()
   ....:       #print(word)
   ....:       wordlist.AddWord(word.translate(trans_table),int(frequency)-1943)
   ....:     #print(wordlist.WordListDict())
   ....:     

In [13]: t9_keyboard = keyboards.MakeT9Keyboard()

In [14]: t9_model = core.SimpleGaussianModel()

In [15]: t9_model.SetScale(0)

In [16]: print(1- core.FastEfficiency(t9_keyboard, t9_model, wordlist,1.0).Fitness())
---------------------------------------------------------------------------
IndexError                                Traceback (most recent call last)
<ipython-input-16-53a073886fe7> in <module>()
----> 1 print(1- core.FastEfficiency(t9_keyboard, t9_model, wordlist,1.0).Fitness())

IndexError: vector::_M_range_check

In [17]: