code: def test_teachability_code_paths():
      """Runs this file's unit tests."""
      total_num_errors, total_num_tests = 0, 0
  
      num_trials = (
          1  # Set to a higher number to get a more accurate error rate.
      )
      for trial in range(num_trials):
          num_errors, num_tests = use_question_answer_phrasing()
          total_num_errors += num_errors
          total_num_tests += num_tests
  
          num_errors, num_tests = use_task_advice_pair_phrasing()
          total_num_errors += num_errors
          total_num_tests += num_tests
  
          print(
              colored(
                  f"\nTRIAL {trial + 1} OF {num_trials} FINISHED",
                  "light_cyan",
              )
          )
  
      if total_num_errors == 0:
          print(
              colored(
                  "\nTEACHABLE AGENT TESTS FINISHED WITH ZERO ERRORS",
                  "light_cyan",
              )
          )
      else:
          print(
              colored(
                  f"\nTEACHABLE AGENT TESTS FINISHED WITH {total_num_errors} / {total_num_tests} TOTAL ERRORS ({100.0 * total_num_errors / total_num_tests}%)",
                  "light_red",
              )
          )
  
file_path: autogen/test/agentchat/contrib/test_teachable_agent.py
imports: import pytest
  import os
  import sys
  from autogen import ConversableAgent, config_list_from_json
  from conftest import skip_openai
  from test_assistant_agent import OAI_CONFIG_LIST, KEY_LOC
label_desc: Use image node_id 5 for calling a global function with example usage: test_teachability_code_paths() without return types