code: def test_frame_reload(self):
      name_node = utils.hadoop_namenode()
      work_dir = utils.get_workdir()
      dataset = "/datasets/bigdata/laptop/mnist/train.csv.gz"
  
      saver_cluster_name = "saver-py"
      try:
          cluster_1 = utils.start_cluster(saver_cluster_name)
          h2o.connect(url=cluster_1)
          df_orig = h2o.import_file(
              path="hdfs://%s%s" % (name_node, dataset)
          )
          df_key = df_orig.key
          df_pd_orig = df_orig.as_data_frame()
          df_orig.save(work_dir)
          h2o.connection().close()
      finally:
          utils.stop_cluster(saver_cluster_name)
  
      loader_cluster_name = "loader-py"
      try:
          cluster_2 = utils.start_cluster(loader_cluster_name)
          h2o.connect(url=cluster_2)
          df_loaded = h2o.load_frame(df_key, work_dir)
          df_pd_loaded = df_loaded.as_data_frame()
          h2o.connection().close()
      finally:
          utils.stop_cluster(loader_cluster_name)
  
      self.assertTrue(df_pd_orig.equals(df_pd_loaded))
  
imports: import fault_tolerance_utils
  import h2o
  import unittest
label_desc: Use image node_id 1 for calling the FrameReloadTest obj's underlying member method code with example usage: obj.test_frame_reload() without return types