code: def test_filter_boxes_by_one_class(self):
      boxes = np.array(
          [
              [30, 100, 70, 300, 1],
              [50, 100, 80, 90, 2],
              [40, 100, 100, 290, 1],
          ]
      )
      result = bounding_box.filter_boxes_by_class(boxes, [1])
      expected_result = np.array(
          [[30, 100, 70, 300, 1], [40, 100, 100, 290, 1]]
      )
      np.testing.assert_equal(result, expected_result)
  
file_path: model-analysis/tensorflow_model_analysis/metrics/preprocessors/utils/bounding_box_test.py
imports: from absl.testing import absltest
  from absl.testing import parameterized
  import numpy
  from tensorflow_model_analysis.metrics.preprocessors.utils import bounding_box
label_desc: Use image node_id 5 for calling the BoundingBoxTest obj's underlying member method code with example usage: obj.test_filter_boxes_by_one_class() without return types