code: def _binary_calibration_error_update(
      preds: Tensor, target: Tensor
  ) -> Tuple[Tensor, Tensor]:
      confidences, accuracies = preds, target
      return confidences, accuracies
  
file_path: torchmetrics/src/torchmetrics/functional/classification/calibration_error.py
imports: from typing import Optional, Tuple, Union
  import torch
  from torch import Tensor
  from typing_extensions import Literal
  from torchmetrics.functional.classification.confusion_matrix import _binary_confusion_matrix_format, _binary_confusion_matrix_tensor_validation, _multiclass_confusion_matrix_format, _multiclass_confusion_matrix_tensor_validation
  from torchmetrics.utilities.enums import ClassificationTaskNoMultilabel
label_desc: Use image node_id 5 for calling a global function with example usage: _binary_calibration_error_update(preds, target) and returns: confidences,  accuracies