code: def test_transform_batch_same_anchor(self):
      psdf = ps.range(10)
      psdf["d"] = psdf.pandas_on_spark.transform_batch(
          lambda pdf: pdf.id + 1
      )
      self.assert_eq(
          psdf,
          pd.DataFrame(
              {"id": list(range(10)), "d": list(range(1, 11))},
              columns=["id", "d"],
          ),
      )
  
      psdf = ps.range(10)
  
      def plus_one(pdf) -> ps.Series[np.int64]:
          return pdf.id + 1
  
      psdf["d"] = psdf.pandas_on_spark.transform_batch(plus_one)
      self.assert_eq(
          psdf,
          pd.DataFrame(
              {"id": list(range(10)), "d": list(range(1, 11))},
              columns=["id", "d"],
          ),
      )
  
      psdf = ps.range(10)
  
      def plus_one(ser) -> ps.Series[np.int64]:
          return ser + 1
  
      psdf["d"] = psdf.id.pandas_on_spark.transform_batch(plus_one)
      self.assert_eq(
          psdf,
          pd.DataFrame(
              {"id": list(range(10)), "d": list(range(1, 11))},
              columns=["id", "d"],
          ),
      )
  
imports: from datetime import datetime
  import sys
  import unittest
  from typing import List
  import numpy
  import pandas
  from pyspark import pandas
  from pyspark.loose_version import LooseVersion
  from pyspark.pandas.config import option_context
  from pyspark.testing.pandasutils import ComparisonTestBase
  from pyspark.testing.sqlutils import SQLTestUtils
label_desc: Use image node_id 9 for calling the FrameApplyFunctionMixin obj's underlying member method code with example usage: obj.test_transform_batch_same_anchor() and returns: unknown, unknown