class_docstr: Class for importing CatBoost models.
class_docstr_tok: ["Class","for","importing","CatBoost","models","."]
docstr: Return the shape of one input sample.
  
  :return: Shape of one input sample.
docstr_tok: ["Return","the","shape","of","one","input","sample",".",":","return",":","Shape","of","one","input","sample","."]
code: def input_shape(self) -> Tuple[int, ...]:
      """
      Return the shape of one input sample.
  
      :return: Shape of one input sample.
      """
      return self._input_shape
  
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 2 for calling the CatBoostARTClassifier obj's underlying member method code with example usage: obj.input_shape() and returns: self