class_docstr: Test cases for diagnostics infra.
class_docstr_tok: ["Test","cases","for","diagnostics","infra","."]
code: def test_log_diagnostic_to_diagnostic_context_raises_when_diagnostic_type_is_wrong(
      self,
  ):
      with self.context:
          with self.assertRaises(TypeError):
              # The method expects 'Diagnostic' or its subclasses as arguments.
              # Passing any other type will trigger a TypeError.
              self.context.log("This is a str message.")
  
imports: from __future__ import annotations
  import contextlib
  import dataclasses
  import io
  import logging
  import typing
  import unittest
  from typing import AbstractSet, Protocol, Tuple
  import torch
  from torch.onnx import errors
  from torch.onnx._internal import diagnostics
  from torch.onnx._internal.diagnostics import infra
  from torch.onnx._internal.diagnostics.infra import formatter, sarif
  from torch.onnx._internal.fx import diagnostics
  from torch.testing._internal import common_utils, logging_utils
label_desc: Use image node_id 11 for calling the TestDiagnosticsInfra obj's underlying member method code with example usage: obj.test_log_diagnostic_to_diagnostic_context_raises_when_diagnostic_type_is_wrong() without return types