code: def gen_test_name(
      prefix: str,
      test_name: str,
      algorithm: Type[Attribution],
      noise_tunnel: bool,
  ) -> str:
      # Generates test name for dynamically generated tests
      return (
          prefix
          + "_"
          + test_name
          + "_"
          + algorithm.__name__
          + ("NoiseTunnel" if noise_tunnel else "")
      )
  
file_path: captum/tests/attr/helpers/gen_test_utils.py
imports: import typing
  from typing import Any, cast, Dict, List, Tuple, Type, Union
  from captum.attr._core.lime import Lime
  from captum.attr._models.base import _get_deep_layer_name
  from captum.attr._utils.attribution import Attribution
  from torch.nn import Module
label_desc: Use image node_id 1 for calling a global function with example usage: gen_test_name(prefix, test_name, algorithm, noise_tunnel) and returns: unknown