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csv: handle zero-value classifiers correctly

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If the value of a classifier was zero (or any other value that
interprets as boolean False), it used to be coverted to an empty entry.
This makes sure that the value gets correctly ropagated.
This commit is contained in:
Sergei Trofimov 2015-12-10 16:22:34 +00:00
parent bb37c31fed
commit bca012fccb
1 changed files with 1 additions and 1 deletions
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2
wlauto/result_processors/standard.py
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@ -119,7 +119,7 @@ class CsvReportProcessor(ResultProcessor):
for ir in results:
for metric in ir.metrics:
row = ([ir.id, ir.spec.label, ir.iteration, metric.name] +
[str(metric.classifiers.get(c) or '') for c in extra_columns] +
[str(metric.classifiers.get(c, '')) for c in extra_columns] +
[str(metric.value), metric.units or ''])
writer.writerow(row)