#!/usr/bin/env python3

import sys

from analyzer import vectorizer
import torch

w = torch.load('model.bin')


def fun(w, x):
    return x @ w


for line in sys.stdin:
    line = line.strip('\n')
    content = line

    x = (torch.from_numpy(vectorizer.fit_transform([content]).toarray()))[0]

    y_hat = fun(w, x)

    print(max(1814.0, min(2013.999, y_hat.item() * 100.0 + 1913.0)))