code: def get_properties(dataset_properties=None):
      return {
          "shortname": "KitchenSink",
          "name": "Random Kitchen Sinks",
          "handles_regression": True,
          "handles_classification": True,
          "handles_multiclass": True,
          "handles_multilabel": True,
          "handles_multioutput": True,
          "is_deterministic": True,
          "input": (SPARSE, DENSE, UNSIGNED_DATA),
          "output": (INPUT, UNSIGNED_DATA),
      }
  
file_path: auto-sklearn/autosklearn/pipeline/components/feature_preprocessing/kitchen_sinks.py
imports: from typing import Optional, Union
  from ConfigSpace.configuration_space import ConfigurationSpace
  from ConfigSpace.hyperparameters import UniformFloatHyperparameter, UniformIntegerHyperparameter
  from numpy.random import RandomState
  from autosklearn.askl_typing import FEAT_TYPE_TYPE
  from autosklearn.pipeline.components.base import AutoSklearnPreprocessingAlgorithm
  from autosklearn.pipeline.constants import DENSE, INPUT, SPARSE, UNSIGNED_DATA
label_desc: Use image node_id 4 for calling the RandomKitchenSinks obj's underlying member method code with example usage: obj.get_properties(dataset_properties) and returns: dict