Modalities are ignored when calculating token_value in dictionary

[bt2901]

Suppose I have three modalities: words, n-grams, titles. The sum of everything in Phi matrix will be equal to 3.0 (each modality sums to ≈1.0).

However, the behaviour of dictionary frequencies is not equal in that regard:

>>> df = artm_dict.save_dataframe()
>>> df.token_value.sum()
1.0000000048381423

>>> df.query("class_id == '@lemmatized'").token_value.sum()
0.8612454659903541

>>> df.query("class_id == '@ngramms'").token_value.sum()
0.11752337550095149

>>> df.query("class_id == '@page_title'").token_value.sum()
0.0005244806132083113

Altering existing dictionary with artm_dict.filter(**kwargs, recalculate_value=True) appear to preserve this behaviour.