code: def test_output_path_default_bucket_and_prefix_combinations(
      start_new,
  ):
      def with_user_input(sess):
          auto_ml = AutoML(
              role=ROLE,
              target_attribute_name=TARGET_ATTRIBUTE_NAME,
              sagemaker_session=sess,
              output_path="s3://test",
          )
          inputs = DEFAULT_S3_INPUT_DATA
          auto_ml.fit(inputs, job_name=JOB_NAME, wait=False, logs=True)
          start_new.assert_called()  # just to make sure this is patched with a mock
          return auto_ml.output_path
  
      def without_user_input(sess):
          auto_ml = AutoML(
              role=ROLE,
              target_attribute_name=TARGET_ATTRIBUTE_NAME,
              sagemaker_session=sess,
          )
          inputs = DEFAULT_S3_INPUT_DATA
          auto_ml.fit(inputs, job_name=JOB_NAME, wait=False, logs=True)
          start_new.assert_called()  # just to make sure this is patched with a mock
          return auto_ml.output_path
  
      actual, expected = _test_default_bucket_and_prefix_combinations(
          function_with_user_input=with_user_input,
          function_without_user_input=without_user_input,
          expected__without_user_input__with_default_bucket_and_default_prefix=(
              f"s3://{DEFAULT_S3_BUCKET_NAME}/{DEFAULT_S3_OBJECT_KEY_PREFIX_NAME}/"
          ),
          expected__without_user_input__with_default_bucket_only=f"s3://{DEFAULT_S3_BUCKET_NAME}/",
          expected__with_user_input__with_default_bucket_and_prefix="s3://test",
          expected__with_user_input__with_default_bucket_only="s3://test",
      )
      assert actual == expected
  
imports: from __future__ import absolute_import
  import copy
  import pytest
  from mock import Mock, patch
  from sagemaker import AutoML, AutoMLJob, AutoMLInput, CandidateEstimator, PipelineModel
  from sagemaker.predictor import Predictor
  from sagemaker.session_settings import SessionSettings
  from sagemaker.workflow.functions import Join
  from tests.unit import SAGEMAKER_CONFIG_AUTO_ML, SAGEMAKER_CONFIG_TRAINING_JOB, _test_default_bucket_and_prefix_combinations, DEFAULT_S3_BUCKET_NAME, DEFAULT_S3_OBJECT_KEY_PREFIX_NAME
label_desc: Use image node_id 33 for calling a global function with example usage: test_output_path_default_bucket_and_prefix_combinations(start_new) and returns: auto_ml, auto_ml