code: def test_repartition(self):
      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)
      partitions_num_1 = data_shard.rdd.getNumPartitions()
      assert partitions_num_1 == 2, "number of partition should be 2"
      data_shard.cache()
      partitioned_shard = data_shard.repartition(1)
  
      # Test dict of numpy
      def to_numpy_dict(df):
          d = df.to_dict()
          return {
              k: np.array([v for v in d[k].values()]) for k in d.keys()
          }
  
      numpy_dict_shard = data_shard.transform_shard(to_numpy_dict)
      partitioned_numpy_dict_shard = numpy_dict_shard.repartition(1)
      assert (
          partitioned_numpy_dict_shard.num_partitions() == 1
      ), "number of partition should be 1"
      assert len(partitioned_numpy_dict_shard.collect()) == 1
  
      partitioned_numpy_dict_shard2 = numpy_dict_shard.repartition(3)
      assert (
          partitioned_numpy_dict_shard2.num_partitions() == 3
      ), "number of partition should be 3"
      assert data_shard.is_cached(), "data_shard should be cached"
      assert (
          partitioned_shard.is_cached()
      ), "partitioned_shard should be cached"
      data_shard.uncache()
      assert not data_shard.is_cached(), "data_shard should be uncached"
      partitions_num_2 = partitioned_shard.rdd.getNumPartitions()
      assert partitions_num_2 == 1, "number of partition should be 1"
  
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 2 for calling the TestSparkXShards obj's underlying member method code with example usage: obj.test_repartition() and returns: unknown