code: def test_compute_multiple_iou(self):
      boxes1 = np.array([[30, 100, 70, 300], [50, 100, 80, 200]])
      boxes2 = np.array(
          [[20, 130, 60, 290], [30, 100, 70, 300], [500, 100, 800, 300]]
      )
      result = box_match.compute_ious_for_image(boxes1, boxes2)
      expected_result = np.array(
          [[0.5, 1.0, 0.0], [7 / 87, 2 / 9, 0.0]]
      )
      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 3 for calling the IouTest obj's underlying member method code with example usage: obj.test_compute_multiple_iou() without return types