code: def test_wrong_hook_signatures(self):
      # correct signature:
      #   def forward_hook(self, input: Tuple[str], output: str)
      def forward_hook_wrong_input1(
          self, input: Tuple[str, str], output: str
      ):
          return output
  
      m = ModuleForwardSingleInput("outer_mod_name", "inner_mod_name")
      m.register_forward_hook(forward_hook_wrong_input1)
  
      with self.assertRaisesRegex(
          RuntimeError,
          "has the wrong number of contained types for the "
          r"input argument's Tuple. Received type: 'Tuple\[str, str\]'",
      ):
          torch.jit.script(m)
  
      def forward_hook_wrong_input2(self, input: str, output: str):
          return output
  
      m = ModuleForwardSingleInput("outer_mod_name", "inner_mod_name")
      m.register_forward_hook(forward_hook_wrong_input2)
  
      with self.assertRaisesRegex(
          RuntimeError,
          "expected the input argument to be typed as a Tuple "
          "but found type: 'str' instead.",
      ):
          torch.jit.script(m)
  
      def forward_hook_wrong_input3(
          self, input: Tuple[None], output: str
      ):
          return output
  
      m = ModuleForwardSingleInput("outer_mod_name", "inner_mod_name")
      m.register_forward_hook(forward_hook_wrong_input3)
  
      with self.assertRaisesRegex(
          RuntimeError,
          "has the wrong inner types for the input tuple"
          r" argument. Received type: 'Tuple\[NoneType\]'",
      ):
          torch.jit.script(m)
  
      def forward_hook_wrong_output(
          self, input: Tuple[str], output: Tuple[str]
      ):
          return output
  
      m = ModuleForwardSingleInput("outer_mod_name", "inner_mod_name")
      m.register_forward_hook(forward_hook_wrong_output)
  
      with self.assertRaisesRegex(
          RuntimeError,
          "has the wrong type for the output argument. Received"
          r" type: 'Tuple\[str\]'. Expected type: 'str'",
      ):
          torch.jit.script(m)
  
      def forward_hook_correct(self, input: Tuple[str], output: str):
          return (output,)
  
      def forward_hook_wrong_output_from_prev_hook(
          self, input: Tuple[str], output: str
      ):
          return output
  
      m = ModuleForwardSingleInput("outer_mod_name", "inner_mod_name")
      m.register_forward_hook(forward_hook_correct)
      m.register_forward_hook(forward_hook_wrong_output_from_prev_hook)
  
      with self.assertRaisesRegex(
          RuntimeError,
          "has the wrong type for the output argument. "
          r"Received type: 'str'. Expected type: 'Tuple\[str\]'",
      ):
          torch.jit.script(m)
  
imports: import os
  import sys
  import unittest
  from typing import Tuple
  import torch
  from jit.test_hooks_modules import ModuleDirectforwardSubmodCall, ModuleForwardSingleInput, ModuleForwardTupleInput, create_forward_tuple_input, create_module_forward_multiple_inputs, create_module_forward_single_input, create_module_hook_return_nothing, create_module_multiple_hooks_multiple_inputs, create_module_multiple_hooks_single_input, create_module_no_forward_input, create_module_same_hook_repeated, create_submodule_forward_multiple_inputs, create_submodule_forward_single_input, create_submodule_forward_single_input_return_not_tupled, create_submodule_hook_return_nothing, create_submodule_multiple_hooks_multiple_inputs, create_submodule_multiple_hooks_single_input, create_submodule_no_forward_input, create_submodule_same_hook_repeated, create_submodule_to_call_directly_with_hooks
  from torch.testing._internal.jit_utils import JitTestCase
label_desc: Use image node_id 24 for calling the TestHooks obj's underlying member method code with example usage: obj.test_wrong_hook_signatures() and returns: output, output, output, output, output, output