#!/usr/bin/env python3

import collections
import csv
import glob
import statistics

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

results = {}

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


results = collections.OrderedDict(sorted(results.items()))

last = None
for i in results:
	if last and last != i[0]:
		print()
		print()
	last = i[0]
	
	print(i[0], i[1], end='')
	for j in range(len(results[i])):
		print('', statistics.mean(results[i][j]), statistics.stdev(results[i][j]), end='')
	print()