code: def random_flip_boxes_left_right(
      boxes: tf.Tensor,
      state: Optional[builders.ProcessorState] = None,
  ) -> tf.Tensor:
      """Flip boxes given the state of image flip."""
      assert state and "flip_left_right_is_flipped" in state
      is_flipped = state["flip_left_right_is_flipped"]
      boxes = tf.cond(
          pred=tf.equal(is_flipped, 1),
          # pylint: disable=g-long-lambda
          true_fn=lambda: tf.constant([1, 0, 1, 0], dtype=tf.float32)
          + tf.constant([-1, 1, -1, 1], dtype=tf.float32) * boxes,
          # pylint: enable=g-long-lambda
          false_fn=lambda: boxes,
      )
      return boxes
  
imports: from typing import Optional, Union
  from absl import logging
  from dmvr import builders
  from dmvr import processors
  import ml_collections
  import tensorflow
label_desc: Use image node_id 10 for calling a global function with example usage: random_flip_boxes_left_right(boxes, state) and returns: boxes