code: def get_categorical_info(analyzer, dataset_sub_names):
      """Returns the categorical information for the given feature names.
  
      :param analyzer: The error analyzer containing the categorical
          features and categories for the full dataset.
      :type analyzer: BaseAnalyzer
      :param dataset_sub_names: The subset of feature names to get the
          categorical indexes and names for.
      :type dataset_sub_names: list[str]
      :return: The categorical indexes and categories for the subset
          of features specified.
      :rtype: tuple[list]
      """
      cat_ind_reindexed = []
      categories_reindexed = []
      if analyzer.categorical_features:
          for c_index, feature in enumerate(
              analyzer.categorical_features
          ):
              try:
                  index_sub = dataset_sub_names.index(feature)
              except ValueError:
                  continue
              cat_ind_reindexed.append(index_sub)
              categories_reindexed.append(analyzer.categories[c_index])
      return (cat_ind_reindexed, categories_reindexed)
  
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 8 for calling a global function with example usage: get_categorical_info(analyzer, dataset_sub_names) and returns: cat_ind_reindexed,  categories_reindexed