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  1. or download this
    def locationscore(self,rows):
  locations=dict([(row[0],1000000) for row in rows])
...
    loc=sum(row[1:])
    if loc<locations[row[0]]: locations[row[0]]=loc
  return self.normalizescores(locations,smallIsBetter=1)
  2. or download this
    def distancescore(self,rows):
  # If there's only one word, everyone wins!
...
    if dist<mindistance[row[0]]: mindistance[row[0]]=dist
  return self.normalizescores(mindistance,smallIsBetter=1)