code: def _get_rule_evaluation_statuses(job_description):
      debug_rule_eval_statuses = (
          job_description.get("DebugRuleEvaluationStatuses") or []
      )
      profiler_rule_eval_statuses = (
          job_description.get("ProfilerRuleEvaluationStatuses") or []
      )
      return debug_rule_eval_statuses + profiler_rule_eval_statuses
  
imports: from __future__ import absolute_import
  import os
  import uuid
  import pytest
  from sagemaker.debugger.debugger import DebuggerHookConfig, Rule, rule_configs, TensorBoardOutputConfig
  from sagemaker.mxnet.estimator import MXNet
  from sagemaker.pytorch.estimator import PyTorch
  from sagemaker.tensorflow.estimator import TensorFlow
  from sagemaker.xgboost.estimator import XGBoost
  from tests.integ import DATA_DIR, TRAINING_DEFAULT_TIMEOUT_MINUTES
  from tests.integ.retry import retries
  from tests.integ.timeout import timeout
label_desc: Use image node_id 13 for calling a global function with example usage: _get_rule_evaluation_statuses(job_description) and returns: unknown