code: def test_zip(self):
      def negative(df, column_name, minus_val):
          df[column_name] = df[column_name] * (-1)
          df[column_name] = df[column_name] - minus_val
          return df
  
      file_path = os.path.join(self.resource_path, "orca/data/json")
      # data_shard = bigdl.orca.data.pandas.read_json(file_path, orient='columns', lines=True)
      data_shard = bigdl.orca.data.pandas.read_json(file_path)
      data_shard = data_shard.repartition(2)
      data_shard.cache()
      print(data_shard.collect()[0])
      transformed_shard = data_shard.transform_shard(
          negative, "value", 2
      )
      zipped_shard = data_shard.zip(transformed_shard)
      assert (
          not transformed_shard.is_cached()
      ), "transformed_shard should be uncached."
      data = zipped_shard.collect()
      assert (
          data[0][0]["value"].values[0] + data[0][1]["value"].values[0]
          == -2
      ), "value should be -2"
      list1 = list([1, 2, 3])
      with self.assertRaises(Exception) as context:
          data_shard.zip(list1)
      self.assertTrue(
          "other should be a SparkXShards" in str(context.exception)
      )
      transformed_shard = transformed_shard.repartition(
          data_shard.num_partitions() - 1
      )
      with self.assertRaises(Exception) as context:
          data_shard.zip(transformed_shard)
      self.assertTrue(
          "The two SparkXShards should have the same number of partitions"
          in str(context.exception)
      )
      dict_data = [{"x": 1, "y": 2}, {"x": 2, "y": 3}]
      sc = init_nncontext()
      rdd = sc.parallelize(dict_data)
      dict_shard = SparkXShards(rdd)
      dict_shard = dict_shard.repartition(1)
      with self.assertRaises(Exception) as context:
          transformed_shard.zip(dict_shard)
      self.assertTrue(
          "The two SparkXShards should have the same number of elements in "
          "each partition" in str(context.exception)
      )
  
imports: import os.path
  import pytest
  from unittest import TestCase
  import bigdl.orca.data
  import bigdl.orca.data.pandas
  from bigdl.orca.data import SharedValue
  from bigdl.dllib.nncontext import *
  from bigdl.orca.data.transformer import *
  from bigdl.orca import init_orca_context
label_desc: Use image node_id 11 for calling the TestSparkXShards obj's underlying member method code with example usage: obj.test_zip() and returns: df