code: def test_invalid_inputs(self):
      with self.assertRaisesRegex(
          ValueError, "batch_size should be a positive integer value"
      ):
          AspectRatioBatchSampler(self.sampler, batch_size=-1)
  
      with self.assertRaisesRegex(
          TypeError, "sampler should be an instance of ``Sampler``"
      ):
          AspectRatioBatchSampler(None, batch_size=1)
  
file_path: mmdetection/tests/test_datasets/test_samplers/test_batch_sampler.py
imports: from unittest import TestCase
  from unittest.mock import patch
  import numpy
  from mmengine.dataset import DefaultSampler
  from torch.utils.data import Dataset
  from mmdet.datasets.samplers import AspectRatioBatchSampler
label_desc: Use image node_id 2 for calling the TestAspectRatioBatchSampler obj's underlying member method code with example usage: obj.test_invalid_inputs() without return types