code: def test_convert_to_bbox(
      test_input, input_format, img_shape, normalize, expected
  ):
      actual = bb_utils.convert_coordinates_to_bbox(
          coordinates=np.array(test_input),
          input_format=input_format,
          img_shape=img_shape,
          normalize=normalize,
      )
      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 1 for calling a global function with example usage: test_convert_to_bbox(test_input, input_format, img_shape, normalize, expected) without return types