code: def __init__(
      self,
      task_type: int,
      metrics: Sequence[Scorer] | Scorer,
      backend: Backend,
      random_state: int | np.random.RandomState | None = None,
  ):
      pass
  
imports: from __future__ import annotations
  from abc import ABC, abstractmethod
  from typing import Any, Dict, List, Sequence, Tuple, Union
  import numpy
  from autosklearn.automl_common.common.utils.backend import Backend
  from autosklearn.data.validation import SUPPORTED_FEAT_TYPES
  from autosklearn.ensemble_building.run import Run
  from autosklearn.metrics import Scorer
  from autosklearn.pipeline.base import BasePipeline
label_desc: Use image node_id 1 to create a new AbstractEnsemble object from inherited base classes: ABC with example: obj = AbstractEnsemble(task_type, metrics, backend, random_state)