code: def __init__(
      self,
      constant_value: float = 1.0,
      constant_value_bounds: tuple[float, float] = (1e-5, 1e5),
      operate_on: np.ndarray | None = None,
      has_conditions: bool = False,
      prior: AbstractPrior | None = None,
  ) -> None:
      super().__init__(
          operate_on=operate_on,
          has_conditions=has_conditions,
          prior=prior,
          constant_value=constant_value,
          constant_value_bounds=constant_value_bounds,
      )
  
imports: from __future__ import annotations
  from abc import abstractmethod
  from typing import Any, Callable
  from inspect import Signature, signature
  import numpy
  import sklearn.gaussian_process.kernels
  from smac.model.gaussian_process.priors.abstract_prior import AbstractPrior
  from smac.utils.configspace import get_conditional_hyperparameters
label_desc: Use image node_id 1 to create a new ConstantKernel object from inherited base classes: AbstractKernel, kernels with example: obj = ConstantKernel(constant_value, constant_value_bounds, operate_on, has_conditions, prior)