code: def canberra(x, y):
      result = 0.0
      for i in range(x.shape[0]):
          denominator = np.abs(x[i]) + np.abs(y[i])
          if denominator > 0:
              result += np.abs(x[i] - y[i]) / denominator
  
      return result
  
imports: import numba
  import numpy
  import scipy.stats
  from sklearn.metrics import pairwise_distances
label_desc: Use image node_id 19 for calling a global function with example usage: canberra(x, y) and returns: result