code: def _parameterize_class_name(
      cls: Type, idx: int, input_dicts: Mapping[Any, Any]
  ):
      """Combine class name with the parameterized arguments.
  
      This function is passed to `parameterized.parameterized_class` as the
      `class_name_func` argument.
      """
      suffixes = []
      for k, v in input_dicts.items():
          suffixes.append(f"{k}_{v}")
      return f"{cls.__name__}_{'_'.join(suffixes)}"
  
imports: from __future__ import annotations
  import copy
  import itertools
  from typing import Any, Callable, Collection, Mapping, Optional, Tuple, Type, Union
  import onnx_test_common
  import parameterized
  import pytest
  import pytorch_test_common
  import torch
  from onnx_test_common import skip, skip_slow, xfail
  from torch.onnx._internal.diagnostics import _rules
  from torch.testing._internal import common_device_type, common_methods_invocations, common_utils
  from torch.testing._internal.opinfo import core
label_desc: Use image node_id 7 for calling a global function with example usage: _parameterize_class_name(cls, idx, input_dicts) and returns: cls, str, str