class_docstr: Provide a unified interface for NeMo Tokenizer, AggregateTokenizer, and (char) Parser.
class_docstr_tok: ["Provide","a","unified","interface","for","NeMo","Tokenizer",",","AggregateTokenizer",",","and","(","char",")","Parser","."]
code: def __call__(self, text: str, lang: str | None = None):
      return self._impl(text, lang)
  
file_path: NeMo/nemo/collections/asr/data/audio_to_text_lhotse.py
imports: from typing import Dict, Optional, Tuple
  import torch.utils.data
  from lhotse.dataset import AudioSamples
  from lhotse.dataset.collation import collate_vectors
  from nemo.collections.common.tokenizers.aggregate_tokenizer import AggregateTokenizer
  from nemo.collections.common.tokenizers.tokenizer_spec import TokenizerSpec
  from nemo.core.neural_types import AudioSignal, LabelsType, LengthsType, NeuralType
label_desc: Use image node_id 2 for calling the TokenizerWrapper obj's underlying member method code with example usage: obj.__call__(text, lang) and returns: self