code: def test_infer_schema_with_no_return(self):
      def try_infer_return_type():
          def f():
              pass
  
          infer_return_type(f)
  
      self.assertRaisesRegex(
          ValueError,
          "A return value is required for the input function",
          try_infer_return_type,
      )
  
      def try_infer_return_type():
          def f() -> None:
              pass
  
          infer_return_type(f)
  
      self.assertRaisesRegex(
          TypeError,
          "Type <class 'NoneType'> was not understood",
          try_infer_return_type,
      )
  
imports: import sys
  import unittest
  import datetime
  import decimal
  from typing import List
  import pandas
  import pandas
  from pandas.api.types import CategoricalDtype
  import numpy
  from pyspark.loose_version import LooseVersion
  from pyspark.sql.types import ArrayType, BinaryType, BooleanType, FloatType, IntegerType, LongType, StringType, StructField, StructType, ByteType, ShortType, DateType, DecimalType, DoubleType, TimestampType
  from pyspark.pandas.typedef import as_spark_type, extension_dtypes_available, extension_float_dtypes_available, extension_object_dtypes_available, infer_return_type, pandas_on_spark_type
  from pyspark import pandas
label_desc: Use image node_id 1 for calling the TypeHintTestsMixin obj's underlying member method code with example usage: obj.test_infer_schema_with_no_return() without return types