code: def hamming(x, y):
      result = 0.0
      for i in range(x.shape[0]):
          if x[i] != y[i]:
              result += 1.0
  
      return float(result) / x.shape[0]
  
imports: import numba
  import numpy
  import scipy.stats
  from sklearn.metrics import pairwise_distances
label_desc: Use image node_id 18 for calling a global function with example usage: hamming(x, y) and returns: unknown