original_docstring: 
              Calculate the L2/euclidean distance between the current instane of the class
              and another instance
          
docstring: Calculate the L2/euclidean distance between the current instane of the class
  and another instance
docstring_tokens: Calculate the L2 / euclidean distance between the current instane of the class and another instance
code: def L2(self, next_node):
          """
              Calculate the L2/euclidean distance between the current instane of the class
              and another instance
          """
          x_vector = self.data #current instance
          y_vector = next_node.data #Other instance
  
          deltas = sum([(x_vector[i] - y_vector[i])**2 for i in range(len(x_vector))])
  
          return -sqrt(deltas)
code_tokens: def L2 ( self , next_node ) : x_vector = self . data y_vector = next_node . data deltas = sum ( [ ( x_vector [ i ] - y_vector [ i ] ) ** 2 for i in range ( len ( x_vector ) ) ] ) return - sqrt ( deltas )
short_docstring: Calculate the L2/euclidean distance between the current instane of the class
  and another instance
short_docstring_tokens: Calculate the L2 / euclidean distance between the current instane of the class and another instance
comment: """
              Calculate the L2/euclidean distance between the current instane of the class
              and another instance
          """$SEP$#current instance$SEP$#Other instance