code: def test_infer_schema_with_names_pandas_instances_negative(self):
      def try_infer_return_type():
          def f() -> (
              'pd.DataFrame["a" : np.float_ : 1, "b":str:2]'
          ):  # noqa: F405
              pass
  
          infer_return_type(f)
  
      self.assertRaisesRegex(
          TypeError,
          "Type hints should be specified",
          try_infer_return_type,
      )
  
      class A:
          pass
  
      def try_infer_return_type():
          def f() -> pd.DataFrame[A]:
              pass
  
          infer_return_type(f)
  
      self.assertRaisesRegex(
          TypeError, "not understood", try_infer_return_type
      )
  
      def try_infer_return_type():
          def f() -> (
              'pd.DataFrame["a" : float : 1, "b":str:2]'
          ):  # noqa: F405
              pass
  
          infer_return_type(f)
  
      self.assertRaisesRegex(
          TypeError,
          "Type hints should be specified",
          try_infer_return_type,
      )
  
      # object type
      pdf = pd.DataFrame({"a": ["a", 2, None]})
  
      def try_infer_return_type():
          def f() -> pd.DataFrame[pdf.dtypes]:
              pass
  
          infer_return_type(f)
  
      self.assertRaisesRegex(
          TypeError, "object.*not understood", try_infer_return_type
      )
  
      def try_infer_return_type():
          def f() -> pd.Series[pdf.a.dtype]:
              pass
  
          infer_return_type(f)
  
      self.assertRaisesRegex(
          TypeError, "object.*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 5 for calling the TypeHintTestsMixin obj's underlying member method code with example usage: obj.test_infer_schema_with_names_pandas_instances_negative() without return types