#!/usr/bin/env python3

import collections
import csv
import glob
import statistics

# type-values-aggregation-model[-epochs]

results = {}

for filename in glob.glob('extend_*'):
	with open(filename) as fp:
		reader = csv.reader(fp, delimiter=' ')
		for row in reader:
			assert row[0] == 'RESULT'
			
			if row[1] not in results:
				results[row[1]] = [ [], [], [] ]
			
			for i in range(3):
				results[row[1]][i].append(float(row[2+i]))

def key_fix(x):
	return int(x[0])

results = collections.OrderedDict(sorted(results.items(), key=key_fix))

for i in results:
	print(i, end='')
	for j in range(len(results[i])):
		print('', statistics.mean(results[i][j]), statistics.stdev(results[i][j]), end='')
	print()