Lint bisect-related modules; obey pylint.

scripts/slave/recipe_modules/bisect_tester/parse_metric.py

 import re
 
+
 # The following has largely been copied from bisect_perf_regression.py
 # TODO(robertocn): Look into the possibility of getting structured data from
 # run_benchmark and similar scripts instead of this markup.
 def parse_metric(out, err, metric):  # pragma: no cover
   """Tries to parse the output in RESULT line format or HISTOGRAM format.
 
   Args:
     metric: The metric as a list of [<trace>, <value>] string pairs.
     out, err: stdout and stderr that may contain the output to be parsed
 
   Returns:
     A list of floating point numbers found.
   """
   text = (out or '') + (err or '')
-  result = _TryParseResultValuesFromOutput(metric, text)
+  result = _parse_result_values_from_output(metric, text)
   if not result:
-    result = _TryParseHistogramValuesFromOutput(metric, text)
+    result = _parse_histogram_values_from_output(metric, text)
   return len(result), result
 
-def _TryParseResultValuesFromOutput(metric, text):  # pragma: no cover
+
+def _parse_result_values_from_output(metric, text):  # pragma: no cover
   """Attempts to parse a metric in the format RESULT <graph>: <trace>= ...
 
   Args:
     metric: The metric as a list of [<trace>, <value>] string pairs.
     text: The text to parse the metric values from.
 
   Returns:
     A list of floating point numbers found.
   """
   if not text:
@@ skipping 56 matching lines @@
       ['warm_times', 'page_load_time'],
   ]
 
   if metric in metrics_to_sum:
     if values_list:
       values_list = [reduce(lambda x, y: float(x) + float(y), values_list)]
 
   return values_list
 
 
-def _TryParseHistogramValuesFromOutput(metric, text):  # pragma: no cover
+def _parse_histogram_values_from_output(metric, text):  # pragma: no cover
   """Attempts to parse a metric in the format HISTOGRAM <graph: <trace>.
 
   Args:
     metric: The metric as a list of [<trace>, <value>] strings.
     text: The text to parse the metric values from.
 
   Returns:
     A list of floating point numbers found, [] if none were found.
   """
   metric_formatted = 'HISTOGRAM %s: %s= ' % (metric[0], metric[1])
 
   text_lines = text.split('\n')
   values_list = []
 
   for current_line in text_lines:
     if metric_formatted in current_line:
       current_line = current_line[len(metric_formatted):]
 
       try:
         histogram_values = eval(current_line)
 
         for b in histogram_values['buckets']:
           average_for_bucket = float(b['high'] + b['low']) * 0.5
           # Extends the list with N-elements with the average for that bucket.
           values_list.extend([average_for_bucket] * b['count'])
       except Exception:
         pass
 
   return values_list