code: def test_transform_broadcast(self):
      def negative(df, column_name, minus_val):
          df[column_name] = df[column_name] * (-1)
          df[column_name] = df[column_name] - minus_val.value
          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 = data_shard.collect()
      assert data[0]["value"].values[0] > 0, "value should be positive"
      col_name = "value"
      minus_val = 2
      minus_val_shared_value = SharedValue(minus_val)
      trans_shard = data_shard.transform_shard(
          negative, col_name, minus_val_shared_value
      )
      data2 = trans_shard.collect()
      assert data2[0]["value"].values[0] < 0, "value should be negative"
      assert (
          data[0]["value"].values[0] + data2[0]["value"].values[0] == -2
      ), "value should be -2"
  
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 9 for calling the TestSparkXShards obj's underlying member method code with example usage: obj.test_transform_broadcast() and returns: df