from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.linear_model import LinearRegression
import string
import csv

dev = []
with open("out.tsv", 'r', encoding="utf-8") as out:
       dev = [line.strip() for line in out]

i = -1
with open("fix.tsv", 'w', encoding="utf-8") as fix:
  for score in dev:
    score = int(float(score))
    fix.write(str(score) + ".5\n")