class_docstr: Class for importing CatBoost models.
class_docstr_tok: ["Class","for","importing","CatBoost","models","."]
docstr: Return the number of features.
  
  :return: The number of features.
docstr_tok: ["Return","the","number","of","features",".",":","return",":","The","number","of","features","."]
code: def nb_features(self) -> int:
      """
      Return the number of features.
  
      :return: The number of features.
      """
      return self._input_shape[0]
  
file_path: adversarial-robustness-toolbox/art/estimators/classification/catboost.py
imports: from __future__ import absolute_import, division, print_function, unicode_literals
  import logging
  import os
  import pickle
  from typing import List, Optional, Union, Tuple, TYPE_CHECKING
  import numpy
  from art.estimators.classification.classifier import ClassifierDecisionTree
  from art import config
label_desc: Use image node_id 3 for calling the CatBoostARTClassifier obj's underlying member method code with example usage: obj.nb_features() and returns: self