code: def test_lazy_xshards(self):
      file_path = os.path.join(self.resource_path, "orca/data/csv")
      data_shard = bigdl.orca.data.pandas.read_csv(file_path)
      assert data_shard.is_cached()
  
      def increment(df):
          df["ID"] = df["ID"] + 1
          return df
  
      data_shard1 = data_shard.transform_shard(increment)
      assert not data_shard.is_cached()
      assert data_shard1.is_cached()
      data_shard2 = data_shard1.repartition(
          data_shard1.num_partitions() * 2
      )
      assert not data_shard1.is_cached()
      assert data_shard2.is_cached()
  
      lazy_shard = data_shard2.to_lazy()
      lazy_shard1 = lazy_shard.transform_shard(increment)
      assert lazy_shard.is_cached()  # Same as data_shard2
      assert not lazy_shard1.is_cached()
      lazy_shard2 = lazy_shard1.repartition(
          lazy_shard1.num_partitions() // 2
      )
      assert not lazy_shard2.is_cached()
      assert data_shard2.is_cached()
  
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 28 for calling the TestSparkXShards obj's underlying member method code with example usage: obj.test_lazy_xshards() and returns: df