code: def setUp(self):
      self.storage_client = fake_cloud_client.FakeStorageClient()
      self.datastore_client = fake_cloud_client.FakeDatastoreClient()
      self.submissions = submissions.CompetitionSubmissions(
          datastore_client=self.datastore_client,
          storage_client=self.storage_client,
          round_name=ROUND_NAME,
      )
      # we only need list of submissin ids in CompetitionSubmissions for this test
      self.submissions._defenses = {
          "SUBD000": {},
          "SUBD001": {},
      }
      self.adv_batches = image_batches.AversarialBatches(
          datastore_client=self.datastore_client
      )
      self.adv_batches._data = {
          "ADVBATCH000": {
              "dataset_batch_id": "BATCH000",
              "images": {},
              "submission_id": "SUBA000",
          },
          "ADVBATCH001": {
              "dataset_batch_id": "BATCH000",
              "images": {},
              "submission_id": "SUBA001",
          },
          "ADVBATCH002": {
              "dataset_batch_id": "BATCH000",
              "images": {},
              "submission_id": "SUBT000",
          },
      }
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import unittest
  from six import assertCountEqual
  from eval_lib import classification_results
  from eval_lib import image_batches
  from eval_lib import submissions
  from eval_lib import work_data
  from eval_lib.tests import fake_cloud_client
label_desc: Use image node_id 1 for calling the ClassificationResultsTest obj's underlying member method code with example usage: obj.setUp() without return types