def get_relevant_features():
    pos_dump = MyDict({k: pos[k] for k in pos if k in features})
    neg_dump = MyDict({k: neg[k] for k in neg if features in k})
    totals_dump = [sum(pos_dump.values()), sum(neg_dump.values())]
    return (pos_dump, neg_dump, totals_dump)
dataset/ETHPy150Open vivekn/sentiment/info.py/get_relevant_features/swapped operands of `in`