code: def main(infile: IO, outfile: IO) -> None:
      """
      Main method for committing or aborting a data source write operation.
  
      This process is invoked from the `UserDefinedPythonDataSourceCommitRunner.runInPython`
      method in the BatchWrite implementation of the PythonTableProvider. It is
      responsible for invoking either the `commit` or the `abort` method on a data source
      writer instance, given a list of commit messages.
      """
      try:
          check_python_version(infile)
  
          memory_limit_mb = int(
              os.environ.get("PYSPARK_PLANNER_MEMORY_MB", "-1")
          )
          setup_memory_limits(memory_limit_mb)
  
          setup_spark_files(infile)
          setup_broadcasts(infile)
  
          _accumulatorRegistry.clear()
  
          # Receive the data source writer instance.
          writer = pickleSer._read_with_length(infile)
          if not isinstance(writer, DataSourceWriter):
              raise PySparkAssertionError(
                  error_class="PYTHON_DATA_SOURCE_TYPE_MISMATCH",
                  message_parameters={
                      "expected": "an instance of DataSourceWriter",
                      "actual": f"'{type(writer).__name__}'",
                  },
              )
  
          # Receive the commit messages.
          num_messages = read_int(infile)
          commit_messages = []
          for _ in range(num_messages):
              message = pickleSer._read_with_length(infile)
              if message is not None and not isinstance(
                  message, WriterCommitMessage
              ):
                  raise PySparkAssertionError(
                      error_class="PYTHON_DATA_SOURCE_TYPE_MISMATCH",
                      message_parameters={
                          "expected": "an instance of WriterCommitMessage",
                          "actual": f"'{type(message).__name__}'",
                      },
                  )
              commit_messages.append(message)
  
          # Receive a boolean to indicate whether to invoke `abort`.
          abort = read_bool(infile)
  
          # Commit or abort the Python data source write.
          # Note the commit messages can be None if there are failed tasks.
          if abort:
              writer.abort(commit_messages)  # type: ignore[arg-type]
          else:
              writer.commit(commit_messages)  # type: ignore[arg-type]
  
          # Send a status code back to JVM.
          write_int(0, outfile)
  
      except BaseException as e:
          handle_worker_exception(e, outfile)
          sys.exit(-1)
  
      send_accumulator_updates(outfile)
  
      # check end of stream
      if read_int(infile) == SpecialLengths.END_OF_STREAM:
          write_int(SpecialLengths.END_OF_STREAM, outfile)
      else:
          # write a different value to tell JVM to not reuse this worker
          write_int(SpecialLengths.END_OF_DATA_SECTION, outfile)
          sys.exit(-1)
  
file_path: spark/python/pyspark/sql/worker/commit_data_source_write.py
imports: import os
  import sys
  from typing import IO
  from pyspark.accumulators import _accumulatorRegistry
  from pyspark.errors import PySparkAssertionError
  from pyspark.java_gateway import local_connect_and_auth
  from pyspark.serializers import read_bool, read_int, write_int, SpecialLengths
  from pyspark.sql.datasource import DataSourceWriter, WriterCommitMessage
  from pyspark.util import handle_worker_exception
  from pyspark.worker_util import check_python_version, pickleSer, send_accumulator_updates, setup_broadcasts, setup_memory_limits, setup_spark_files
label_desc: Use image node_id 1 for calling a global function with example usage: main(infile, outfile) without return types