import numpy as np
import pandas as pd

def preprocess_data():
   n=int(input())
   data=[float(input().strip()) for _ in range(n)]
   data=np.array(data)
   s=pd.Series(data)

   dmean=np.mean(data[data != -1])
   s_filled=s.replace(-1,dmean)
   s_clean=s_filled[(s_filled>=200) & (s_filled<=800)].reset_index(drop=True)
   return s_clean
        

def main():
    ans = preprocess_data()
    for i in range(len(ans)):
        print(f"{ans[i]:.4f}")
if __name__ == '__main__':
    main()