code: def test_compute_single_iou(self):
      # Boxes are in the corners format [LEFT, RIGHT, TOP, BOTTOM]
      boxes1 = np.array([[30, 100, 70, 300]])
      boxes2 = np.array([[20, 130, 60, 290]])
      result = box_match.compute_ious_for_image(boxes1, boxes2)
      expected_result = np.array([[0.5]])
      np.testing.assert_allclose(result, expected_result)
  
file_path: model-analysis/tensorflow_model_analysis/metrics/preprocessors/utils/box_match_test.py
imports: from absl.testing import absltest
  from absl.testing import parameterized
  import numpy
  from tensorflow_model_analysis.metrics.preprocessors.utils import box_match
label_desc: Use image node_id 2 for calling the IouTest obj's underlying member method code with example usage: obj.test_compute_single_iou() without return types