doc2vec most_similar using clip_start: result indexes are not from clip_start

[voloviky]

gensim 0.12.1 doc2vec.
When using clip_start, clip_end in most_similar function, the result gives keys from the start of dataset and not from clip_start.
In order to reproduce use:
clip_start=5, clip_end=10, topn=5.
The results should be items with keys: 5, 6, 7, 8,9.
But it gives items with keys: 0, 1, 2, 3, 4.

Look at this part of code in doc2vec.py most_similar function:

dists = dot(self.doctag_syn0norm[clip_start:clip_end], mean)
if not topn:
 return dists
best = matutils.argsort(dists, topn=topn + len(all_docs), reverse=True)
# ignore (don't return) docs from the input
result = [(self._key_index(sim), float(dists[sim])) for sim in best if sim not in all_docs]
return result[:topn]

The issue is that self._key_index(sim) takes sim, whereas sim is index of best. best doesn't take into consideration clip_start.
Changing this line solves the issue.
result = [(self._key_index(sim + clip_start), float(dists[sim])) for sim in best if sim not in all_docs]
Please review

[ajaanbaahu]

I have found the same issue and and agree with @voloviky , any idea when this can be fixed?