Minor fixes

Comments and variable names fixed

emission/tests/modellingTests/TestGreedySimilarityBinning.py

@@ -113,9 +113,9 @@ def testBinning(self):
                 model = eamtg.GreedySimilarityBinning(model_config)
                 model.fit(trips)
                 #check each bins for no of trips
-                at_least_one_large_bin = any(map(lambda b: len(b['feature_rows']) == m, model.bins.values()))
+                one_large_bin = any(map(lambda b: len(b['feature_rows']) == m, model.bins.values()))
                 #Since 5 trips were sampled within the threshold, there should be one bin with 5 trips
-                self.assertTrue(at_least_one_large_bin, "at least one bin should have at least 5 features in it")
+                self.assertTrue(one_large_bin, "one bin should have 5 features in it")
 
     def testPrediction(self):
         """

emission/tests/modellingTests/modellingTestAssets.py

@@ -35,7 +35,7 @@ def generate_nearby_random_points(ref_coords,threshold):
     theta=random.uniform(0,2*math.pi)
     dx = radius * math.cos(theta)
     dy = radius * math.sin (theta)
-    #This basically gives a way to sample a point from within a square of length thresholdInWGS84 
+    #This basically gives a way to sample a point from within a circle of radius thresholdInWGS84/2 
     # around the ref. point.  
     return [ref_coords[0] + dy , ref_coords[1] + dx]