import json
import os
from pathlib import Path
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple, Union

import sentencepiece

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


a_							=      logging.get_logger(__name__)

a_							=      """▁"""

a_							=      {
    """vocab_file""": """vocab.json""",
    """spm_file""": """sentencepiece.bpe.model""",
}

a_							=      {
    """vocab_file""": {
        """facebook/s2t-small-librispeech-asr""": (
            """https://huggingface.co/facebook/s2t-small-librispeech-asr/resolve/main/vocab.json"""
        ),
    },
    """spm_file""": {
        """facebook/s2t-small-librispeech-asr""": (
            """https://huggingface.co/facebook/s2t-small-librispeech-asr/resolve/main/sentencepiece.bpe.model"""
        )
    },
}

a_							=      {
    """facebook/s2t-small-librispeech-asr""": 1024,
}

a_							=      ["""pt""", """fr""", """ru""", """nl""", """ro""", """it""", """es""", """de"""]

a_							=      {"""mustc""": MUSTC_LANGS}


class 			UpperCAmelCase__    (		snake_case					):



  """simple docstring"""






  lowerCAmelCase__		:	Tuple    		= VOCAB_FILES_NAMES
  lowerCAmelCase__		:	Any    		= PRETRAINED_VOCAB_FILES_MAP
  lowerCAmelCase__		:	Union[str, Any]    		= MAX_MODEL_INPUT_SIZES
  lowerCAmelCase__		:	List[str]    		= ['input_ids', 'attention_mask']

  lowerCAmelCase__		:	List[int]    		= []






  def __init__(				self:			str				,				__lowerCAmelCase:			Optional[Any]				,				__lowerCAmelCase:			str				,				__lowerCAmelCase:			int="<s>"				,				__lowerCAmelCase:			Tuple="</s>"				,				__lowerCAmelCase:			List[Any]="<pad>"				,				__lowerCAmelCase:			Union[str, Any]="<unk>"				,				__lowerCAmelCase:			Optional[int]=False				,				__lowerCAmelCase:			Dict=False				,				__lowerCAmelCase:			List[Any]=None				,				__lowerCAmelCase:			List[Any]=None				,				__lowerCAmelCase:			Optional[Dict[str, Any]] = None				,				**__lowerCAmelCase:			List[str]				,				) -> None:




    '''simple docstring'''




    __UpperCAmelCase						    =       {} if sp_model_kwargs is None else sp_model_kwargs

    super().__init__(
        bos_token=__lowerCAmelCase				,				eos_token=__lowerCAmelCase				,				unk_token=__lowerCAmelCase				,				pad_token=__lowerCAmelCase				,				do_upper_case=__lowerCAmelCase				,				do_lower_case=__lowerCAmelCase				,				tgt_lang=__lowerCAmelCase				,				lang_codes=__lowerCAmelCase				,				sp_model_kwargs=self.sp_model_kwargs				,				**__lowerCAmelCase				,				)
    __UpperCAmelCase						    =       do_upper_case
    __UpperCAmelCase						    =       do_lower_case

    __UpperCAmelCase						    =       load_json(__lowerCAmelCase   )
    __UpperCAmelCase						    =       {v: k for k, v in self.encoder.items()}
    __UpperCAmelCase						    =       spm_file
    __UpperCAmelCase						    =       load_spm(__lowerCAmelCase				,				self.sp_model_kwargs   )

    if lang_codes is not None:
      __UpperCAmelCase						    =       lang_codes
      __UpperCAmelCase						    =       LANGUAGES[lang_codes]
      __UpperCAmelCase						    =       [F'''<lang:{lang}>''' for lang in self.langs]
      __UpperCAmelCase						    =       {lang: self.sp_model.PieceToId(F'''<lang:{lang}>'''   ) for lang in self.langs}

      __UpperCAmelCase						    =       self.lang_tokens
      __UpperCAmelCase						    =       tgt_lang if tgt_lang is not None else self.langs[0]

      self.set_tgt_lang_special_tokens(self._tgt_lang   )
    else:
      __UpperCAmelCase						    =       {}






  @property
  def 	_UpperCAmelCase				(				self:			List[Any]   ) -> int:




    '''simple docstring'''




    return len(self.encoder   )






  @property
  def 	_UpperCAmelCase				(				self:			List[str]   ) -> str:




    '''simple docstring'''




    return self._tgt_lang






  @tgt_lang.setter
  def 	_UpperCAmelCase				(				self:			Union[str, Any]				,				__lowerCAmelCase:			Optional[int]   ) -> None:




    '''simple docstring'''




    __UpperCAmelCase						    =       new_tgt_lang
    self.set_tgt_lang_special_tokens(__lowerCAmelCase   )






  def 	_UpperCAmelCase				(				self:			Tuple				,				__lowerCAmelCase:			str   ) -> None:




    '''simple docstring'''




    __UpperCAmelCase						    =       self.lang_code_to_id[tgt_lang]
    __UpperCAmelCase						    =       [lang_code_id]






  def 	_UpperCAmelCase				(				self:			List[Any]				,				__lowerCAmelCase:			str   ) -> List[str]:




    '''simple docstring'''




    return self.sp_model.encode(__lowerCAmelCase				,				out_type=__lowerCAmelCase   )






  def 	_UpperCAmelCase				(				self:			int				,				__lowerCAmelCase:			List[Any]   ) -> List[Any]:




    '''simple docstring'''




    return self.encoder.get(__lowerCAmelCase				,				self.encoder[self.unk_token]   )






  def 	_UpperCAmelCase				(				self:			int				,				__lowerCAmelCase:			int   ) -> str:




    '''simple docstring'''




    return self.decoder.get(__lowerCAmelCase				,				self.unk_token   )






  def 	_UpperCAmelCase				(				self:			Tuple				,				__lowerCAmelCase:			List[str]   ) -> str:




    '''simple docstring'''




    __UpperCAmelCase						    =       []
    __UpperCAmelCase						    =       ""
    for token in tokens:
      # make sure that special tokens are not decoded using sentencepiece model
      if token in self.all_special_tokens:
        __UpperCAmelCase						    =       self.sp_model.decode(__lowerCAmelCase   )
        out_string += (decoded.upper() if self.do_upper_case else decoded) + token + " "
        __UpperCAmelCase						    =       []
      else:
        current_sub_tokens.append(__lowerCAmelCase   )
    __UpperCAmelCase						    =       self.sp_model.decode(__lowerCAmelCase   )
    out_string += decoded.upper() if self.do_upper_case else decoded
    return out_string.strip()






  def 	_UpperCAmelCase				(				self:			Dict				,				__lowerCAmelCase:			Union[str, Any]				,				__lowerCAmelCase:			Tuple=None   ) -> List[int]:




    '''simple docstring'''




    if token_ids_a is None:
      return self.prefix_tokens + token_ids_a + [self.eos_token_id]
    # We don't expect to process pairs, but leave the pair logic for API consistency
    return self.prefix_tokens + token_ids_a + token_ids_a + [self.eos_token_id]






  def 	_UpperCAmelCase				(				self:			Optional[int]				,				__lowerCAmelCase:			List[int]				,				__lowerCAmelCase:			Optional[List[int]] = None				,				__lowerCAmelCase:			bool = False   ) -> List[int]:




    '''simple docstring'''




    if already_has_special_tokens:
      return super().get_special_tokens_mask(
          token_ids_a=__lowerCAmelCase				,				token_ids_a=__lowerCAmelCase				,				already_has_special_tokens=__lowerCAmelCase   )

    __UpperCAmelCase						    =       [1] * len(self.prefix_tokens   )
    __UpperCAmelCase						    =       [1]
    if token_ids_a is None:
      return prefix_ones + ([0] * len(__lowerCAmelCase   )) + suffix_ones
    return prefix_ones + ([0] * len(__lowerCAmelCase   )) + ([0] * len(__lowerCAmelCase   )) + suffix_ones






  def 	_UpperCAmelCase				(				self:			Union[str, Any]   ) -> Dict:




    '''simple docstring'''




    __UpperCAmelCase						    =       self.encoder.copy()
    vocab.update(self.added_tokens_encoder   )
    return vocab






  def __getstate__(				self:			Union[str, Any]   ) -> Dict:




    '''simple docstring'''




    __UpperCAmelCase						    =       self.__dict__.copy()
    __UpperCAmelCase						    =       None
    return state






  def __setstate__(				self:			Any				,				__lowerCAmelCase:			Dict   ) -> None:




    '''simple docstring'''




    __UpperCAmelCase						    =       d

    # for backward compatibility
    if not hasattr(self				,				"sp_model_kwargs"   ):
      __UpperCAmelCase						    =       {}

    __UpperCAmelCase						    =       load_spm(self.spm_file				,				self.sp_model_kwargs   )






  def 	_UpperCAmelCase				(				self:			Union[str, Any]				,				__lowerCAmelCase:			str				,				__lowerCAmelCase:			Optional[str] = None   ) -> Tuple[str]:




    '''simple docstring'''




    __UpperCAmelCase						    =       Path(__lowerCAmelCase   )
    assert save_dir.is_dir(), F'''{save_directory} should be a directory'''
    __UpperCAmelCase						    =       save_dir / (
        (filename_prefix + "-" if filename_prefix else "") + self.vocab_files_names["vocab_file"]
    )
    __UpperCAmelCase						    =       save_dir / (
        (filename_prefix + "-" if filename_prefix else "") + self.vocab_files_names["spm_file"]
    )

    save_json(self.encoder				,				__lowerCAmelCase   )

    if os.path.abspath(self.spm_file   ) != os.path.abspath(__lowerCAmelCase   ) and os.path.isfile(self.spm_file   ):
      copyfile(self.spm_file				,				__lowerCAmelCase   )
    elif not os.path.isfile(self.spm_file   ):
      with open(__lowerCAmelCase				,				"wb"   ) as fi:
        __UpperCAmelCase						    =       self.sp_model.serialized_model_proto()
        fi.write(__lowerCAmelCase   )

    return (str(__lowerCAmelCase   ), str(__lowerCAmelCase   ))






def       __lowerCAmelCase      (						A_   : str						,	A_   : Dict[str, Any]					)    ->  sentencepiece.SentencePieceProcessor:
  __UpperCAmelCase						    =       sentencepiece.SentencePieceProcessor(**A_					)
  spm.Load(str(A_					)					)
  return spm




def       __lowerCAmelCase      (						A_   : str					)    ->  Union[Dict, List]:
  with open(A_						,	"r"					) as f:
    return json.load(A_					)





def       __lowerCAmelCase      (						A_   : Optional[int]						,	A_   : str					)    ->  None:
  with open(A_						,	"w"					) as f:
    json.dump(A_						,	A_						,	indent=2					)




from abc import ABC, abstractmethod
from argparse import ArgumentParser


class 			UpperCAmelCase__    (		snake_case					):



  """simple docstring"""






  @staticmethod
  @abstractmethod
  def 	_UpperCAmelCase				(				__lowerCAmelCase:			ArgumentParser   ) -> Tuple:




    '''simple docstring'''




    raise NotImplementedError()






  @abstractmethod
  def 	_UpperCAmelCase				(				self:			List[str]   ) -> List[Any]:




    '''simple docstring'''




    raise NotImplementedError()



