code: def _get_distorted_bounding_box(
      jpeg_shape,
      bbox,
      min_object_covered,
      aspect_ratio_range,
      area_range,
      max_attempts,
  ):
      """Sample a crop window to be used for cropping."""
      bbox_begin, bbox_size, _ = tf.image.sample_distorted_bounding_box(
          jpeg_shape,
          bounding_boxes=bbox,
          min_object_covered=min_object_covered,
          aspect_ratio_range=aspect_ratio_range,
          area_range=area_range,
          max_attempts=max_attempts,
          use_image_if_no_bounding_boxes=True,
      )
  
      # Crop the image to the specified bounding box.
      offset_y, offset_x, _ = tf.unstack(bbox_begin)
      target_height, target_width, _ = tf.unstack(bbox_size)
      crop_window = tf.stack(
          [
              offset_y,
              offset_x,
              offset_y + target_height,
              offset_x + target_width,
          ]
      )
      return crop_window
  
imports: import functools
  import itertools
  import matplotlib.pyplot
  import mediapy
  import numpy
  import tensorflow.compat.v1
  import tensorflow_datasets
  from tensorflow_graphics.geometry.transformation import rotation_matrix_3d
label_desc: Use image node_id 11 for calling a global function with example usage: _get_distorted_bounding_box(jpeg_shape, bbox, min_object_covered, aspect_ratio_range, area_range, max_attempts) and returns: crop_window