code: def __init__(self, postprocess: Optional[Callable] = None):
      super().__init__()
      if postprocess is not None:
          warnings.warn(
              "The `postprocess` argument is deprecated. "
              "See https://github.com/cornellius-gp/gpytorch/pull/2205 for details.",
              DeprecationWarning,
          )
      self._postprocess = postprocess
  
imports: from __future__ import annotations
  import warnings
  from abc import abstractmethod
  from copy import deepcopy
  from typing import Callable, Dict, Iterable, Optional, Tuple, Union
  import torch
  from linear_operator import to_dense, to_linear_operator
  from linear_operator.operators import LinearOperator, ZeroLinearOperator
  from torch import Tensor
  from torch.nn import ModuleList
  from ..None import settings
  from ..constraints import Interval, Positive
  from ..distributions import MultivariateNormal
  from ..lazy import LazyEvaluatedKernelTensor
  from ..likelihoods import GaussianLikelihood
  from ..models import exact_prediction_strategies
  from ..module import Module
  from ..priors import Prior
label_desc: Use image node_id 1 to create a new Distance object from inherited base classes: torch.nn with example: obj = Distance(postprocess)