[Findit] Added algorithm to analysis

appengine/findit/model/flake/master_flake_analysis.py

 # Copyright 2016 The Chromium Authors. All rights reserved.
 # Use of this source code is governed by a BSD-style license that can be
 # found in the LICENSE file.
 
 from google.appengine.ext import ndb
 
-from model import analysis_status
 from model.base_build_model import BaseBuildModel
 from model.base_analysis import BaseAnalysis
 from model.flake.flake_swarming_task import FlakeSwarmingTask
 
+
 class MasterFlakeAnalysis(BaseAnalysis, BaseBuildModel):
   """Represents an analysis of a flaky test in a Chromium Waterfall."""
+
   @staticmethod
   def CreateAnalysisId(master_name, builder_name,
                        build_number, step_name, test_name):
     return '%s/%s/%s/%s/%s' % (master_name, builder_name,
                                build_number, step_name, test_name)
 
   @ndb.ComputedProperty
   def step_name(self):
     return self.key.pairs()[0][1].split('/')[3]
 
@@ skipping 22 matching lines @@
           step_name, test_name):  # pragma: no cover
     return MasterFlakeAnalysis._CreateKey(
         master_name, builder_name, build_number, step_name, test_name).get()
 
   # List of tested build_numbers and their corresponding success rates.
   # We need to keep these sorted manually.
   build_numbers = ndb.IntegerProperty(indexed=True, repeated=True)
   success_rates = ndb.FloatProperty(indexed=False, repeated=True)
   flake_swarming_tasks = ndb.KeyProperty(
       kind='FlakeSwarmingTask', repeated=True)
+  suspected_flake_build_number = ndb.IntegerProperty()