code: def jaccard(x, y):
      num_non_zero = 0.0
      num_equal = 0.0
      for i in range(x.shape[0]):
          x_true = x[i] != 0
          y_true = y[i] != 0
          num_non_zero += x_true or y_true
          num_equal += x_true and y_true
  
      if num_non_zero == 0.0:
          return 0.0
      else:
          return float(num_non_zero - num_equal) / num_non_zero
  
imports: import numba
  import numpy
  import scipy.stats
  from sklearn.metrics import pairwise_distances
label_desc: Use image node_id 23 for calling a global function with example usage: jaccard(x, y) and returns: int, unknown