code: def sinkhorn_iterations(
      x,
      y,
      u,
      v,
      K,
      max_iter=1000,
      error_tolerance=1e-9,
      change_tolerance=1e-9,
  ):
      K_prime = precompute_K_prime(K, x)
  
      prev_u = u
      prev_v = v
  
      for iteration in range(max_iter):
          next_v = y / (K.T @ u)
  
          if np.any(~np.isfinite(next_v)):
              break
  
          next_u = 1.0 / (K_prime @ next_v)
  
          if np.any(~np.isfinite(next_u)):
              break
  
          u = next_u
          v = next_v
  
          if iteration % 20 == 0:
              # Check if values in plan have changed significantly since last 20 iterations
              relative_change = relative_change_in_plan(
                  prev_u, prev_v, next_u, next_v
              )
              if relative_change <= change_tolerance:
                  break
  
              prev_u = u
              prev_v = v
  
          if iteration % 10 == 0:
              # Check if right marginal error is less than tolerance every 10 iterations
              err = right_marginal_error(u, K, v, y)
              if err <= error_tolerance:
                  break
  
      return u, v
  
imports: import numpy
  import numba
  from collections import namedtuple
  from enum import Enum, IntEnum
label_desc: Use image node_id 23 for calling a global function with example usage: sinkhorn_iterations(x, y, u, v, K, max_iter, error_tolerance, change_tolerance) and returns: u,  v