#!/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):
	x = x[0].split('_')
	
	x[0] = {'past':0, 'flow': 1, 'fore':2, 'all':3}[x[0]]
	x[1] = int(x[1])
	x[2] = int(x[2])
	if len(x) > 4:
		x[4] = int(x[4])
	return x

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

last = None
for i in results:
	it = i.split('_')
	if it[0] != last:
		print()
		last = it[0]
	print('-'.join(it[0:3]), '-'.join(it[3:]), end='')
	for j in range(len(results[i])):
		print('', statistics.mean(results[i][j]), statistics.stdev(results[i][j]), end='')
	print()