code: def __init__(self, cb_model):
      import tempfile
  
      with tempfile.TemporaryDirectory() as tmp_dir:
          tmp_file = os.path.join(tmp_dir, "model.json")
          cb_model.save_model(tmp_file, format="json")
          self.loaded_cb_model = json.load(open(tmp_file))
  
      # load the CatBoost oblivious trees specific parameters
      self.num_trees = len(self.loaded_cb_model["oblivious_trees"])
      self.max_depth = self.loaded_cb_model["model_info"]["params"][
          "tree_learner_options"
      ]["depth"]
  
imports: import json
  import os
  import struct
  import time
  import warnings
  import numpy
  import pandas
  import scipy.sparse
  import scipy.special
  from packaging import version
  from ..None import maskers
  from .._explanation import Explanation
  from ..utils import assert_import, record_import_error, safe_isinstance
  from ..utils._exceptions import DimensionError, ExplainerError, InvalidFeaturePerturbationError, InvalidMaskerError, InvalidModelError
  from ..utils._legacy import DenseData
  from ._explainer import Explainer
label_desc: Use image node_id 1 to create a new CatBoostTreeModelLoader object  with example: obj = CatBoostTreeModelLoader(cb_model)