1 files changed, 38 insertions, 33 deletions
diff --git a/tools/run_tests/performance/massage_qps_stats_helpers.py b/tools/run_tests/performance/massage_qps_stats_helpers.py
index a2fe4ae6c3..108451cd55 100644
--- a/tools/run_tests/performance/massage_qps_stats_helpers.py
+++ b/tools/run_tests/performance/massage_qps_stats_helpers.py
@@ -14,44 +14,49 @@
 
 import collections
 
+
 def _threshold_for_count_below(buckets, boundaries, count_below):
-  count_so_far = 0
-  for lower_idx in range(0, len(buckets)):
-    count_so_far += buckets[lower_idx]
-    if count_so_far >= count_below:
-      break
-  if count_so_far == count_below:
-    # this bucket hits the threshold exactly... we should be midway through
-    # any run of zero values following the bucket
-    for upper_idx in range(lower_idx + 1, len(buckets)):
-      if buckets[upper_idx] != 0:
-        break
-    return (boundaries[lower_idx] + boundaries[upper_idx]) / 2.0
-  else:
-    # treat values as uniform throughout the bucket, and find where this value
-    # should lie
-    lower_bound = boundaries[lower_idx]
-    upper_bound = boundaries[lower_idx + 1]
-    return (upper_bound -
-           (upper_bound - lower_bound) * (count_so_far - count_below) /
-               float(buckets[lower_idx]))
+    count_so_far = 0
+    for lower_idx in range(0, len(buckets)):
+        count_so_far += buckets[lower_idx]
+        if count_so_far >= count_below:
+            break
+    if count_so_far == count_below:
+        # this bucket hits the threshold exactly... we should be midway through
+        # any run of zero values following the bucket
+        for upper_idx in range(lower_idx + 1, len(buckets)):
+            if buckets[upper_idx] != 0:
+                break
+        return (boundaries[lower_idx] + boundaries[upper_idx]) / 2.0
+    else:
+        # treat values as uniform throughout the bucket, and find where this value
+        # should lie
+        lower_bound = boundaries[lower_idx]
+        upper_bound = boundaries[lower_idx + 1]
+        return (upper_bound - (upper_bound - lower_bound) *
+                (count_so_far - count_below) / float(buckets[lower_idx]))
+
 
 def percentile(buckets, pctl, boundaries):
-  return _threshold_for_count_below(
-      buckets, boundaries, sum(buckets) * pctl / 100.0)
+    return _threshold_for_count_below(buckets, boundaries,
+                                      sum(buckets) * pctl / 100.0)
+
 
 def counter(core_stats, name):
-  for stat in core_stats['metrics']:
-    if stat['name'] == name:
-      return int(stat.get('count', 0))
+    for stat in core_stats['metrics']:
+        if stat['name'] == name:
+            return int(stat.get('count', 0))
+
 
 Histogram = collections.namedtuple('Histogram', 'buckets boundaries')
+
+
 def histogram(core_stats, name):
-  for stat in core_stats['metrics']:
-    if stat['name'] == name:
-      buckets = []
-      boundaries = []
-      for b in stat['histogram']['buckets']:
-        buckets.append(int(b.get('count', 0)))
-        boundaries.append(int(b.get('start', 0)))
-  return Histogram(buckets=buckets, boundaries=boundaries)
+    for stat in core_stats['metrics']:
+        if stat['name'] == name:
+            buckets = []
+            boundaries = []
+            for b in stat['histogram']['buckets']:
+                buckets.append(int(b.get('count', 0)))
+                boundaries.append(int(b.get('start', 0)))
+    return Histogram(buckets=buckets, boundaries=boundaries)