code: def analyze(
      self, diagnostic_level: diagnostics.infra.Level
  ) -> AnalysisResult:
      ...
  
imports: from __future__ import annotations
  import abc
  import contextlib
  import dataclasses
  import difflib
  import io
  import logging
  import sys
  from typing import Any, Callable, Optional, Tuple
  import torch
  import torch.fx
  from torch._subclasses import fake_tensor
  from torch.fx.experimental.proxy_tensor import maybe_disable_fake_tensor_mode
  from torch.onnx._internal import _beartype
  from torch.onnx._internal.fx import diagnostics, onnxfunction_dispatcher
label_desc: Use image node_id 2 for calling the Analysis obj's underlying member method code with example usage: obj.analyze(diagnostic_level) without return types