code: def __init__(self):
      self.info = {
          "task": MULTICLASS_CLASSIFICATION,
          "is_sparse": False,
      }
      self.feat_type = {
          0: "numerical",
          1: "Numerical",
          2: "numerical",
          3: "numerical",
      }
  
imports: import copy
  import json
  import logging.handlers
  import multiprocessing
  import os
  import shutil
  import sys
  import tempfile
  import numpy
  from smac.tae import StatusType
  from autosklearn.automl_common.common.utils.backend import Backend
  from autosklearn.constants import BINARY_CLASSIFICATION, MULTICLASS_CLASSIFICATION, MULTILABEL_CLASSIFICATION, REGRESSION
  from autosklearn.evaluation.test_evaluator import TestEvaluator, eval_t
  from autosklearn.evaluation.util import read_queue
  from autosklearn.metrics import accuracy, balanced_accuracy, f1_macro, r2
  from autosklearn.util.pipeline import get_configuration_space
  import unittest
  import unittest.mock
  import test.conftest
  from evaluation_util import SCORER_LIST, BaseEvaluatorTest, get_dataset_getters, get_evaluation_backend, get_multiclass_classification_datamanager
label_desc: Use image node_id 1 to create a new DummyDatamanager object  with example: obj = DummyDatamanager()