--- a/python/utils.py	Wed Jul 17 01:29:25 2013 -0400
+++ b/python/utils.py	Wed Jul 17 18:19:08 2013 -0400
@@ -293,21 +293,21 @@
         from numpy import mean
         return mean([j-i for i,j in self.subSequenceIndices])
 
-    def _computeNormalized(self, l1, l2):
+    def _computeNormalized(self, l1, l2, computeSubSequence = False):
         ''' compute the normalized LCSS
         ie, the LCSS divided by the min or mean of the indicator lengths (using lengthFunc)
         lengthFunc = lambda x,y:float(x,y)/2'''
-        return float(self._compute(l1, l2))/self.lengthFunc(len(l1), len(l2))
+        return float(self._compute(l1, l2, computeSubSequence))/self.lengthFunc(len(l1), len(l2))
 
-    def computeNormalized(self, l1, l2):
-        return self._computeNormalized(l1, l2)
+    def computeNormalized(self, l1, l2, computeSubSequence = False):
+        return self._computeNormalized(l1, l2, computeSubSequence)
 
-    def _computeDistance(self, l1, l2):
+    def _computeDistance(self, l1, l2, computeSubSequence = False):
         ''' compute the LCSS distance'''
-        return 1-self._computeNormalized(l1, l2)
+        return 1-self._computeNormalized(l1, l2, computeSubSequence)
 
-    def computeDistance(self, l1, l2):
-        return self._computeDistance(l1, l2)
+    def computeDistance(self, l1, l2, computeSubSequence = False):
+        return self._computeDistance(l1, l2, computeSubSequence)
     
 #########################
 # plotting section