code: def replace_element(to_replace, batch, idx, key_or_idx):
      # since tuple is immutable we'll have to recreate
      if isinstance(batch[idx], tuple):
          batch_idx_list = list(batch[idx])
          batch_idx_list[key_or_idx] = to_replace
          batch[idx] = tuple(batch_idx_list)
      # else, replace
      else:
          batch[idx][key_or_idx] = to_replace
      return batch
  
file_path: MONAI/monai/transforms/croppad/batch.py
imports: from __future__ import annotations
  from collections.abc import Hashable, Mapping
  from typing import Any
  import numpy
  import torch
  from monai.data.meta_tensor import MetaTensor
  from monai.data.utils import list_data_collate
  from monai.transforms.croppad.array import CenterSpatialCrop, SpatialPad
  from monai.transforms.inverse import InvertibleTransform
  from monai.utils.enums import Method, PytorchPadMode, TraceKeys
label_desc: Use image node_id 1 for calling a global function with example usage: replace_element(to_replace, batch, idx, key_or_idx) and returns: batch