code: def _create_map_avro_schema_and_records() -> (
      Tuple[AvroSchema, List[JavaObject]]
  ):
      schema = AvroSchema.parse_string(MAP_SCHEMA)
      records = [
          _create_map_avro_record(schema, {"a": 1, "b": 2}),
          _create_map_avro_record(schema, {"c": 3, "d": 4}),
      ]
      return schema, records
  
imports: import glob
  import os
  import tempfile
  from typing import Tuple, List
  from avro.datafile import DataFileReader
  from avro.io import DatumReader
  from py4j.java_gateway import JavaObject, java_import
  from pyflink.datastream import MapFunction
  from pyflink.datastream.connectors.file_system import FileSink
  from pyflink.datastream.formats.avro import AvroSchema, GenericRecordAvroTypeInfo, AvroBulkWriters, AvroInputFormat
  from pyflink.datastream.tests.test_util import DataStreamTestSinkFunction
  from pyflink.java_gateway import get_gateway
  from pyflink.testing.test_case_utils import PyFlinkUTTestCase
label_desc: Use image node_id 14 for calling a global function with example usage: _create_map_avro_schema_and_records() and returns: schema,  records