def measurement(nKnownWords, nUnknownWords):
corpora = MockCorpora(nKnownWords + nUnknownWords)
# We're using theoretical distribution of real person's vocabulary
# it would be interesting to test it later against real vocabularies
# but for now let's proceed with it
knownWords = set(
numpy.random.choice(corpora.words(),
p=corpora.probabilities(),
size=nKnownWords))
print(knownWords)
v = Vocabulary(corpora)
questions = v.getQuestions()
for q in questions:
q.setAnswer(q.word in knownWords)
print([q.word for q in questions])
return v.calculate(questions)
