code: def setUp(self):
      super(CloudFitRemoteTest, self).setUp()
      self._image_uri = "gcr.io/some_test_image:latest"
      self._project_id = "test_project_id"
      self._remote_dir = tempfile.mkdtemp()
      self._output_dir = os.path.join(self._remote_dir, "checkpoint")
      self._x = np.random.random(10)
      self._y = np.random.random(10)
      self._model = self._model()
      self._logs_dir = os.path.join(self._remote_dir, "logs")
      self._fit_kwargs = {
          "x": self._x,
          "y": self._y,
          "verbose": 2,
          "batch_size": 2,
          "epochs": 10,
          "callbacks": [
              tf.keras.callbacks.TensorBoard(log_dir=self._logs_dir)
          ],
      }
      client._serialize_assets(
          self._remote_dir, self._model, **self._fit_kwargs
      )
      os.environ["TF_CONFIG"] = json.dumps(
          {
              "cluster": {
                  "worker": ["localhost:9999", "localhost:9999"]
              },
              "task": {"type": "worker", "index": 0},
          }
      )
  
imports: import json
  import os
  import tempfile
  from unittest import mock
  from absl import flags
  import numpy
  import tensorflow
  from tensorflow_cloud.tuner import cloud_fit_client
  from tensorflow_cloud.tuner import cloud_fit_remote
  from tensorflow_cloud.tuner import cloud_fit_utils
label_desc: Use image node_id 1 for calling the CloudFitRemoteTest obj's underlying member method code with example usage: obj.setUp() without return types