code: def test_batch_resize(self):
      processor = DetDataPreprocessor(
          mean=[103.53, 116.28, 123.675],
          std=[57.375, 57.12, 58.395],
          bgr_to_rgb=False,
          batch_augments=[
              dict(
                  type="BatchResize",
                  scale=(32, 32),
                  pad_size_divisor=32,
              )
          ],
      )
      self.assertTrue(
          isinstance(processor.batch_augments[0], BatchResize)
      )
  
      packed_inputs = demo_mm_inputs(
          2, [[3, 10, 11], [3, 9, 24]], use_box_type=True
      )
      data = processor(packed_inputs, training=True)
      batch_inputs, batch_data_samples = (
          data["inputs"],
          data["data_samples"],
      )
      self.assertEqual(batch_inputs.shape[-2:], (32, 32))
      self.assertEqual(
          batch_data_samples[0].scale_factor,
          batch_data_samples[1].scale_factor,
      )
  
imports: from unittest import TestCase
  from mmdet.models.data_preprocessors import BatchResize, DetDataPreprocessor
  from mmdet.testing import demo_mm_inputs
label_desc: Use image node_id 1 for calling the TestDetDataPreprocessor obj's underlying member method code with example usage: obj.test_batch_resize() without return types