class_docstr: Manage the languages for multi-lingual 🐸TTS models. Load a datafile and parse the information
  in a way that can be queried by language.
  
  Args:
      language_ids_file_path (str, optional): Path to the metafile that maps language names to ids used by
      TTS models. Defaults to "".
      config (Coqpit, optional): Coqpit config that contains the language information in the datasets filed.
      Defaults to None.
  
  Examples:
      >>> manager = LanguageManager(language_ids_file_path=language_ids_file_path)
      >>> language_id_mapper = manager.language_ids
class_docstr_tok: ["Manage","the","languages","for","multi-lingual","\ud83d\udc38TTS","models",".","Load","a","datafile","and","parse","the","information","in","a","way","that","can","be","queried","by","language",".","Args",":","language_ids_file_path","(","str",",","optional",")",":","Path","to","the","metafile","that","maps","language","names","to","ids","used","by","TTS","models",".","Defaults","to","``","''",".","config","(","Coqpit",",","optional",")",":","Coqpit","config","that","contains","the","language","information","in","the","datasets","filed",".","Defaults","to","None",".","Examples",":",">",">",">","manager","=","LanguageManager","(","language_ids_file_path=language_ids_file_path",")",">",">",">","language_id_mapper","=","manager.language_ids"]
code: def __init__(
      self,
      language_ids_file_path: str = "",
      config: Coqpit = None,
  ):
      super().__init__(id_file_path=language_ids_file_path)
  
      if config:
          self.set_language_ids_from_config(config)
  
imports: import os
  from typing import Any, Dict, List
  import fsspec
  import numpy
  import torch
  from coqpit import Coqpit
  from TTS.config import check_config_and_model_args
  from TTS.tts.utils.managers import BaseIDManager
label_desc: Use image node_id 1 to create a new LanguageManager object from inherited base classes: BaseIDManager with example: obj = LanguageManager(language_ids_file_path, config)