# PFLlib: Personalized Federated Learning Algorithm Library
# Copyright (C) 2021  Jianqing Zhang

# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2 of the License, or
# (at your option) any later version.

# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.

# You should have received a copy of the GNU General Public License along
# with this program; if not, write to the Free Software Foundation, Inc.,
# 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.

from statistics import mean
import numpy as np

file_name = input() + '.out'

acc = []

with open(file_name, 'r') as f:
    is_best = False
    for l in f.readlines():
        if is_best:
            acc.append(float(l))
            is_best = False
        elif 'Best accuracy' in l:
            is_best = True

print(acc)
print(mean(acc)*100, np.std(acc)*100)
