Lint bisect-related modules; obey pylint.

scripts/slave/recipe_modules/math_utils/api.py

Index: scripts/slave/recipe_modules/math_utils/api.py
diff --git a/scripts/slave/recipe_modules/math_utils/api.py b/scripts/slave/recipe_modules/math_utils/api.py
index fa31575f63f98b13b5b1d394deb93dc762efe527..d0063b19d15e8a40b8736b07b9a218d240cf0655 100644
--- a/scripts/slave/recipe_modules/math_utils/api.py
+++ b/scripts/slave/recipe_modules/math_utils/api.py
@@ -8,6 +8,7 @@ import math
 
 from slave import recipe_api
 
+
 class MathUtilsApi(recipe_api.RecipeApi):
 
   @staticmethod
@@ -138,7 +139,7 @@ class MathUtilsApi(recipe_api.RecipeApi):
   #Copied this from BisectResults
   @staticmethod
   def confidence_score(sample1, sample2,
-                      accept_single_bad_or_good=False):
+                       accept_single_bad_or_good=False):
     """Calculates a confidence score.
 
     This score is a percentage which represents our degree of confidence in the
@@ -251,7 +252,6 @@ class MathUtilsApi(recipe_api.RecipeApi):
            (v2 ** 2) / ((n2 ** 2) * (n2 - 1))))
     return max(1, df)
 
-
   # Below is a hard-coded table for looking up p-values.
   #
   # Normally, p-values are calculated based on the t-distribution formula.