Revert of Iteratively increase sample size for good/bad classification.

scripts/slave/recipe_modules/auto_bisect/bisector_test.py

Index: scripts/slave/recipe_modules/auto_bisect/bisector_test.py
diff --git a/scripts/slave/recipe_modules/auto_bisect/bisector_test.py b/scripts/slave/recipe_modules/auto_bisect/bisector_test.py
index 6813a259a43f4b45a06262fa23b781730dfca847..78bff4312cc1adf236618796782a95076d8a16d6 100755
--- a/scripts/slave/recipe_modules/auto_bisect/bisector_test.py
+++ b/scripts/slave/recipe_modules/auto_bisect/bisector_test.py
@@ -130,9 +130,9 @@
 
   def test_check_initial_confidence_one_hundred(self):
     # A confidence score of 100 should satisfy any default.
+    mock_score = self.dummy_api.m.math_utils.confidence_score
+    mock_score.return_value = 100
     bisector = Bisector(self.dummy_api, self.bisect_config, MockRevisionClass)
-    bisector.good_rev.values = [3, 3, 3, 3, 3, 3]
-    bisector.bad_rev.values = [9, 9, 9, 9, 9, 9]
     self.assertTrue(bisector.check_initial_confidence())
     self.assertFalse(bisector.failed_initial_confidence)
 
@@ -156,6 +156,18 @@
     self.assertFalse(bisector.check_initial_confidence())
     self.assertTrue(bisector.failed_initial_confidence)
 
+  def test_check_initial_confidence_pass(self):
+    mock_score = self.dummy_api.m.math_utils.confidence_score
+    self.bisect_config['required_initial_confidence'] = 99
+    # A confidence score of 99.5 should satisfy the required 99.
+    mock_score.return_value = 99.5
+    bisector = Bisector(self.dummy_api, self.bisect_config, MockRevisionClass)
+    # The initial confidence check may only apply if there are some values.
+    bisector.good_rev.values = [3, 3, 3, 3, 3, 3]
+    bisector.bad_rev.values = [3, 3, 3, 3, 3, 3]
+    self.assertTrue(bisector.check_initial_confidence())
+    self.assertFalse(bisector.failed_initial_confidence)
+
 
 if __name__ == '__main__':
   unittest.main()  # pragma: no cover