| 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('design_*'): | |
| 13 | with open(filename) as fp: | |
| 14 | reader = csv.reader(fp, delimiter=' ') | |
| 15 | for row in reader: | |
| 16 | assert row[0] == 'RESULT' | |
| 17 | ||
| 18 | index = (row[1], int(row[2])) | |
| 19 | ||
| 20 | if index not in results: | |
| 21 | results[index] = [ [], [], [] ] | |
| 22 | ||
| 23 | for i in range(3): | |
| 24 | results[index][i].append(float(row[3+i])) | |
| 25 | ||
| 26 | ||
| 27 | results = collections.OrderedDict(sorted(results.items())) | |
| 28 | ||
| 29 | last = None | |
| 30 | for i in results: | |
| 31 | if last and last != i[0]: | |
| 32 | print() | |
| 33 | print() | |
| 34 | last = i[0] | |
| 35 | ||
| 36 | print(i[0], i[1], end='') | |
| 37 | for j in range(len(results[i])): | |
| 38 | print('', statistics.mean(results[i][j]), statistics.stdev(results[i][j]), end='') | |
| 39 | print() | |
