| commit | author | age | ||
| 425bf7 | 1 | #!/usr/bin/env python3 |
| JK | 2 | |
| 3 | import collections | |
| 4 | import csv | |
| 5 | import glob | |
| 6 | import statistics | |
| 7 | ||
| 8 | # type-values-aggregation-model[-epochs] | |
| 9 | ||
| 10 | results = {} | |
| 11 | ||
| 12 | for filename in glob.glob('extend_*'): | |
| 13 | with open(filename) as fp: | |
| 14 | reader = csv.reader(fp, delimiter=' ') | |
| 15 | for row in reader: | |
| 16 | assert row[0] == 'RESULT' | |
| 17 | ||
| 18 | if row[1] not in results: | |
| 19 | results[row[1]] = [ [], [], [] ] | |
| 20 | ||
| 21 | for i in range(3): | |
| 22 | results[row[1]][i].append(float(row[2+i])) | |
| 23 | ||
| 24 | def key_fix(x): | |
| 25 | x = x[0].split('_') | |
| 26 | ||
| 27 | x[0] = {'past':0, 'flow': 1, 'fore':2, 'all':3}[x[0]] | |
| 28 | x[1] = int(x[1]) | |
| 29 | x[2] = int(x[2]) | |
| 30 | if len(x) > 4: | |
| 31 | x[4] = int(x[4]) | |
| 32 | return x | |
| 33 | ||
| 34 | results = collections.OrderedDict(sorted(results.items(), key=key_fix)) | |
| 35 | ||
| 36 | last = None | |
| 37 | for i in results: | |
| 38 | it = i.split('_') | |
| 39 | if it[0] != last: | |
| 40 | print() | |
| 41 | last = it[0] | |
| 42 | print('-'.join(it[0:3]), '-'.join(it[3:]), end='') | |
| 43 | for j in range(len(results[i])): | |
| 44 | print('', statistics.mean(results[i][j]), statistics.stdev(results[i][j]), end='') | |
| 45 | print() | |
