code: def get_drift_plot_sidenote(
      max_num_categories_for_display: int, show_categories_by: str
  ) -> str:
      """
      Return a sidenote for the drift score plots regarding the number of categories shown in discrete distributions.
  
      Parameters
      ----------
      max_num_categories_for_display: int, default: 10
          Max number of categories to show in plot.
      show_categories_by: str, default: 'largest_difference'
          Specify which categories to show for categorical features' graphs, as the number of shown categories is limited
          by max_num_categories_for_display. Possible values:
          - 'train_largest': Show the largest train categories.
          - 'test_largest': Show the largest test categories.
          - 'largest_difference': Show the largest difference between categories.
      Returns
      -------
      str
          sidenote for the drift score plots regarding the number of categories shown in discrete distributions.
      """
      param_to_print_dict = {
          "train_largest": "largest categories (by train)",
          "test_largest": "largest categories (by test)",
          "largest_difference": "categories with largest difference between train and test",
      }
      return (
          f"For discrete distribution plots, "
          f"showing the top {max_num_categories_for_display} {param_to_print_dict[show_categories_by]}."
      )
  
imports: from numbers import Number
  from typing import Dict, Optional, Tuple, Union
  import numpy
  import pandas
  from plotly.graph_objs import Figure
  from plotly.subplots import make_subplots
  from scipy.stats import chi2_contingency, wasserstein_distance
  from deepchecks.core import ConditionCategory, ConditionResult
  from deepchecks.core.errors import DeepchecksValueError, NotEnoughSamplesError
  from deepchecks.utils.dict_funcs import get_dict_entry_by_value
  from deepchecks.utils.distribution.plot import CategoriesSortingKind, drift_score_bar_traces, feature_distribution_traces
  from deepchecks.utils.distribution.preprocessing import preprocess_2_cat_cols_to_same_bins
  from deepchecks.utils.plot import DEFAULT_DATASET_NAMES
  from deepchecks.utils.strings import format_number
label_desc: Use image node_id 10 for calling a global function with example usage: get_drift_plot_sidenote(max_num_categories_for_display, show_categories_by) and returns: str, max_num_categories_for_display, str, param_to_print_dict, str