import pandas as pd
import calendar

method='cubic'
order=None

N = int(input())
headers = input().split()
data = [input().split() for _ in range(N)]

df = pd.DataFrame(data,columns = headers)

df["date"] = df["yyyy"].str.strip()+" "+df["month"].str.strip()
df["date"] = pd.to_datetime(df["date"])
df = df.drop(["yyyy","month"],axis=1)
df["tmax_copy"] = df["tmax"]
df["tmin_copy"] = df["tmin"]
df["tmax_was_na"] = df["tmax"].apply(lambda x: True if "Missing" in x else False)
df["tmin_was_na"] = df["tmin"].apply(lambda x: True if "Missing" in x else False)

df["tmax"] = df["tmax"].apply(lambda x: None if "Missing" in x else x)
df["tmin"] = df["tmin"].apply(lambda x: None if "Missing" in x else x)

df.index = df["date"]
df = df.drop("date",axis=1)
df["tmax"] = df["tmax"].astype(float)
df["tmin"] = df["tmin"].astype(float)
df["tmax"] = df["tmax"].interpolate(method=method,order=order)
df["tmin"] = df["tmin"].interpolate(method=method,order=order)
df_fin = df[df["tmax_was_na"]|df["tmin_was_na"]][["tmin","tmax","tmin_copy","tmax_copy"]]
df_final = pd.DataFrame()
df_final2 = pd.DataFrame()
df_final["miss_val"] = df_fin[df_fin["tmax_copy"].str.contains("Missing")].tmax
df_final["miss_name"] = df_fin[df_fin["tmax_copy"].str.contains("Missing")].tmax_copy
df_final2["miss_val"] = df_fin[df_fin["tmin_copy"].str.contains("Missing")].tmin
df_final2["miss_name"] = df_fin[df_fin["tmin_copy"].str.contains("Missing")].tmin_copy
df_res = df_final.append(df_final2)
df_res["miss_id"] = df_res["miss_name"].str.split("_").str[1].astype(int)
print(*df_res.sort_values(by="miss_id").miss_val.to_list(),sep="\n")