code: def create_categorical_arg(parent_threshold):
      """Create the categorical argument for given parent threshold.
  
      The argument contains the categories to split on.
  
      :param parent_threshold: The parent threshold to create the categorical.
      :type parent_threshold: float
      :return: The categorical argument.
      :rtype: list[float]
      """
      return [float(i) for i in parent_threshold.split("||")]
  
imports: import logging
  import numbers
  from enum import Enum
  import numpy
  import pandas
  from lightgbm import Booster, LGBMClassifier, LGBMRegressor
  from sklearn.metrics import mean_absolute_error, mean_squared_error, median_absolute_error, r2_score
  from erroranalysis._internal.cohort_filter import filter_from_cohort
  from erroranalysis._internal.constants import DIFF, LEAF_INDEX, METHOD, PRED_Y, ROW_INDEX, SPLIT_FEATURE, SPLIT_INDEX, TRUE_Y, CohortFilterMethods, Metrics, ModelTask, TreeNode, error_metrics, f1_metrics, metric_to_display_name, precision_metrics, recall_metrics, regression_metrics
  from erroranalysis._internal.metrics import get_ordered_classes, metric_to_func
  from erroranalysis._internal.process_categoricals import process_categoricals
  from erroranalysis._internal.utils import is_spark
  from raiutils.exceptions import UserConfigValidationException
label_desc: Use image node_id 13 for calling a global function with example usage: create_categorical_arg(parent_threshold) and returns: unknown