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#!/usr/bin/env python3 |
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import collections |
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import csv |
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import glob |
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import statistics |
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# type-values-aggregation-model[-epochs] |
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results = {} |
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for filename in glob.glob('design_*'): |
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with open(filename) as fp: |
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reader = csv.reader(fp, delimiter=' ') |
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for row in reader: |
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assert row[0] == 'RESULT' |
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if row[1] not in results: |
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results[row[1]] = [ [], [], [] ] |
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for i in range(3): |
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results[row[1]][i].append(float(row[2+i])) |
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results = collections.OrderedDict(sorted(results.items())) |
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for i in results: |
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print(i, end='') |
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for j in range(len(results[i])): |
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print('', statistics.mean(results[i][j]), statistics.stdev(results[i][j]), end='') |
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print() |