code: def test_normalize_bbox(bbox, img_shape, expected):
      bbox = bb_utils.BBox(
          ymin=bbox[0], xmin=bbox[1], ymax=bbox[2], xmax=bbox[3]
      )
      actual = bb_utils.normalize_bbox(bbox, img_shape)
      expected_bbox = bb_utils.BBox(
          ymin=expected[0],
          xmin=expected[1],
          ymax=expected[2],
          xmax=expected[3],
      )
      assert actual == expected_bbox
  
imports: import numpy
  import pytest
  from tensorflow_datasets.core.features import bounding_boxes_utils
label_desc: Use image node_id 3 for calling a global function with example usage: test_normalize_bbox(bbox, img_shape, expected) without return types