code: def verify_length_of_true_and_predicted(
      true_labels, predicted_attrs, predicted_attrs_name
  ):
      """Verify if lengths match between lists of true labels and predicted attributes.
  
      Args:
          true_labels (list or array): The list of the true labels.
          predicted_attrs (list or array): The list of the predicted labels/probabilities/scores.
          predicted_attrs_name (str): The name of the predicted attributes.
  
      Raises:
          ValueError: If lengths mismatch between true labels and predicted attributes.
      """
      if len(true_labels) != len(predicted_attrs):
          raise ValueError(
              "Lengths mismatch between true labels and {}: "
              "({} vs {}).".format(
                  predicted_attrs_name,
                  len(true_labels),
                  len(predicted_attrs),
              )
          )
  
imports: from __future__ import absolute_import
  import logging
  import os
  import mimetypes
  import urllib
  from functools import wraps
  from typing import Optional
  from sagemaker import Session
  from sagemaker.apiutils import _utils
  from sagemaker.experiments._environment import _RunEnvironment, _EnvironmentType
  from sagemaker.experiments.trial_component import _TrialComponent
  from sagemaker.utilities.search_expression import Filter, Operator, SearchExpression
  from sagemaker.utils import retry_with_backoff
label_desc: Use image node_id 3 for calling a global function with example usage: verify_length_of_true_and_predicted(true_labels, predicted_attrs, predicted_attrs_name) without return types