code: def update_approximate_vectors(
      weight_matrix, u, n_power_iteration, eps
  ):
      """Update the first left and right singular vectors.
  
      This function updates the first left singular vector `u` and
      the first right singular vector `v`.
  
      Args:
          weight_matrix (~chainer.Variable): 2D weight.
          u (numpy.ndarray, cupy.ndarray, or None):
              Vector that approximates the first left singular vector and
              has the shape of (out_size,).
          n_power_iteration (int): Number of iterations to approximate
              the first right and left singular vectors.
  
      Returns:
          :class:`numpy.ndarray` or `cupy.ndarray`:
              Approximate first left singular vector.
          :class:`numpy.ndarray` or `cupy.ndarray`:
              Approximate first right singular vector.
  
      """
      weight_matrix = weight_matrix.array
      xp = backend.get_array_module(weight_matrix)
      for _ in range(n_power_iteration):
          v = l2normalize(xp, xp.dot(u, weight_matrix), eps)
          u = l2normalize(xp, xp.dot(weight_matrix, v), eps)
      return u, v
  
imports: import chainer
  from chainer import backend
  from chainer import configuration
  import chainer.functions
  from chainer import link_hook
  import chainer.links
  from chainer import variable
  import chainerx
label_desc: Use image node_id 2 for calling a global function with example usage: update_approximate_vectors(weight_matrix, u, n_power_iteration, eps) and returns: u,  v