code: def sinkhorn_distance(x, y, cost=_dummy_cost, regularization=1.0):
      transport_plan = sinkhorn_transport_plan(
          x, y, cost=cost, regularization=regularization
      )
      dim_i = transport_plan.shape[0]
      dim_j = transport_plan.shape[1]
      result = 0.0
      for i in range(dim_i):
          for j in range(dim_j):
              result += transport_plan[i, j] * cost[i, j]
  
      return result
  
imports: import numpy
  import numba
  from collections import namedtuple
  from enum import Enum, IntEnum
label_desc: Use image node_id 26 for calling a global function with example usage: sinkhorn_distance(x, y, cost, regularization) and returns: result