code: def manhattan(x, y):
      r"""Manhattan, taxicab, or l1 distance.
  
      ..math::
          D(x, y) = \sum_i |x_i - y_i|
      """
      result = 0.0
      for i in range(x.shape[0]):
          result += np.abs(x[i] - y[i])
  
      return result
  
imports: import numba
  import numpy
  import scipy.stats
  from sklearn.metrics import pairwise_distances
label_desc: Use image node_id 6 for calling a global function with example usage: manhattan(x, y) and returns: result