class_docstr: Test cases for diagnostics emitted by the TorchScript ONNX export code.
class_docstr_tok: ["Test","cases","for","diagnostics","emitted","by","the","TorchScript","ONNX","export","code","."]
code: def test_diagnostics_engine_records_diagnosis_reported_outside_of_export(
      self,
  ):
      sample_level = diagnostics.levels.ERROR
      with assert_diagnostic(
          self,
          diagnostics.engine,
          self._sample_rule,
          sample_level,
      ):
          diagnostic = infra.Diagnostic(self._sample_rule, sample_level)
          diagnostics.export_context().log(diagnostic)
  
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 6 for calling the TestTorchScriptOnnxDiagnostics obj's underlying member method code with example usage: obj.test_diagnostics_engine_records_diagnosis_reported_outside_of_export() without return types