code: def get_properties(dataset_properties=None):
      return {
          "shortname": "DT",
          "name": "Decision Tree Classifier",
          "handles_regression": False,
          "handles_classification": True,
          "handles_multiclass": True,
          "handles_multilabel": True,
          "handles_multioutput": False,
          "is_deterministic": True,
          "input": (DENSE, SPARSE, UNSIGNED_DATA),
          "output": (PREDICTIONS,),
      }
  
file_path: auto-sklearn/autosklearn/pipeline/components/classification/decision_tree.py
imports: from typing import Optional
  import numpy
  from ConfigSpace.configuration_space import ConfigurationSpace
  from ConfigSpace.hyperparameters import CategoricalHyperparameter, Constant, UniformFloatHyperparameter, UniformIntegerHyperparameter, UnParametrizedHyperparameter
  from autosklearn.askl_typing import FEAT_TYPE_TYPE
  from autosklearn.pipeline.components.base import AutoSklearnClassificationAlgorithm
  from autosklearn.pipeline.constants import DENSE, PREDICTIONS, SPARSE, UNSIGNED_DATA
  from autosklearn.pipeline.implementations.util import convert_multioutput_multiclass_to_multilabel
  from autosklearn.util.common import check_none
label_desc: Use image node_id 5 for calling the DecisionTree obj's underlying member method code with example usage: obj.get_properties(dataset_properties) and returns: dict