code: def _char_error_rate(
      preds: Union[str, List[str]], target: Union[str, List[str]]
  ) -> Tensor:
      """Wrapper for deprecated import.
  
      >>> preds = ["this is the prediction", "there is an other sample"]
      >>> target = ["this is the reference", "there is another one"]
      >>> _char_error_rate(preds=preds, target=target)
      tensor(0.3415)
  
      """
      _deprecated_root_import_func("char_error_rate", "text")
      return char_error_rate(preds=preds, target=target)
  
imports: import os
  from typing import Any, Callable, Dict, List, Literal, Optional, Sequence, Tuple, Union
  import torch
  from torch import Tensor
  from torch.nn import Module
  from torchmetrics.functional.text.bert import bert_score
  from torchmetrics.functional.text.bleu import bleu_score
  from torchmetrics.functional.text.cer import char_error_rate
  from torchmetrics.functional.text.chrf import chrf_score
  from torchmetrics.functional.text.eed import extended_edit_distance
  from torchmetrics.functional.text.infolm import _ALLOWED_INFORMATION_MEASURE_LITERAL
  from torchmetrics.functional.text.infolm import infolm
  from torchmetrics.functional.text.mer import match_error_rate
  from torchmetrics.functional.text.perplexity import perplexity
  from torchmetrics.functional.text.rouge import rouge_score
  from torchmetrics.functional.text.sacre_bleu import sacre_bleu_score
  from torchmetrics.functional.text.squad import squad
  from torchmetrics.functional.text.ter import translation_edit_rate
  from torchmetrics.functional.text.wer import word_error_rate
  from torchmetrics.functional.text.wil import word_information_lost
  from torchmetrics.functional.text.wip import word_information_preserved
  from torchmetrics.utilities.imports import _TRANSFORMERS_GREATER_EQUAL_4_4
  from torchmetrics.utilities.prints import _deprecated_root_import_func
label_desc: Use image node_id 3 for calling a global function with example usage: _char_error_rate(preds, target) and returns: char_error_rate