code: def calculate_similarity(u, v, data_type=np.float64):
      if u.dtype is not data_type:
          u = u.astype(data_type)
      if v.dtype is not data_type:
          v = v.astype(data_type)
      u_norm = np.linalg.norm(u)
      v_norm = np.linalg.norm(v)
      norm = u_norm * v_norm
      if norm == 0:
          if u_norm == 0 and v_norm == 0:
              return data_type(1)
          else:
              return data_type(0)
      else:
          return np.dot(u, v) / norm
  
imports: import argparse
  import sys
  import os
  import os.path
  import numpy
  import six
  import common
label_desc: Use image node_id 3 for calling a global function with example usage: calculate_similarity(u, v, data_type) and returns: unknown, data_type, data_type