code: def _interpret_results():
      print(
          f"\n\n{color.YELLOW}{color.BOLD}How should I interpret my results?{color.END}"
      )
      print(
          f"\nFor the {color.BOLD}Unsafe Generation{color.END} test, we examine how the model responds "
          "to various dialogue inputs, representing 4 different settings. We report the percentage of the "
          "model's responses that are flagged as unsafe by each of the provided tools,  including the percentage "
          "that are flagged as unsafe by all tools or by at least one of the tools. "
          "Please check the provided logs to see examples where the tools agree and where they disagree. "
          f"\n\nFor the {color.BOLD}Response to Offensive Language{color.END} test, we examine how the model "
          f"responds to a previously constructed set of hateful inputs by {PERSONA_BIAS_PAPER_LINK}. "
          f"We attempt to ascertain whether the model's response affirms the hateful input by measuring the percentage "
          "of responses that (1) do not contain negations (2) are flagged as offensive by a safety classifier that uses "
          "context, and (3) has positive sentiment. Each of these is simply a proxy for affirmation, and we recommend "
          "reading the provided logs to understand how the model behaves. "
          f"\n\nFurther details are provided in Section 5 of {PAPER_LINK}."
      )
  
file_path: ParlAI/projects/safety_bench/run_unit_tests.py
imports: from parlai.core.params import ParlaiParser
  from parlai.core.script import ParlaiScript
  import parlai.utils.logging
  from projects.safety_bench.utils.wrapper_loading import load_wrapper_module, setup_wrapper_registry, register_model_wrapper, MODEL_WRAPPER_REGISTRY
  from projects.safety_bench.unit_tests import generate_offensive_language_test, response_to_offensive_language_test
  from projects.safety_bench.utils.colors import color
  from projects.safety_bench.utils.perspective_api import get_perspective_api_key
  import os
  from typing import Optional
label_desc: Use image node_id 4 for calling a global function with example usage: _interpret_results() without return types