code: def update_progress_callback_parameters(
      progress_bar, previous_progress
  ):
      update = (
          (progress_bar.n - previous_progress)
          / progress_bar.total
          * 100
      )
      progress_percent = (progress_bar.n / progress_bar.total) * 100
      time_elapsed = progress_bar.format_dict["elapsed"]
      return (update, progress_percent, time_elapsed)
  
imports: import logging
  import math
  import os
  import shutil
  import time
  import warnings
  from datetime import datetime
  import cloudpickle
  import numpy
  import pandas
  from woodwork.logical_types import Age, AgeNullable, Boolean, BooleanNullable, Integer, IntegerNullable
  from featuretools.computational_backends.feature_set import FeatureSet
  from featuretools.computational_backends.feature_set_calculator import FeatureSetCalculator
  from featuretools.computational_backends.utils import _check_cutoff_time_type, _validate_cutoff_time, bin_cutoff_times, create_client_and_cluster, gather_approximate_features, gen_empty_approx_features_df, get_ww_types_from_features, save_csv_decorator
  from featuretools.entityset.relationship import RelationshipPath
  from featuretools.feature_base import AggregationFeature, FeatureBase
  from featuretools.utils import Trie
  from featuretools.utils.gen_utils import Library, import_or_none, import_or_raise, is_instance, make_tqdm_iterator
label_desc: Use image node_id 9 for calling a global function with example usage: update_progress_callback_parameters(progress_bar, previous_progress) and returns: update,  progress_percent,  time_elapsed