

import os
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


__UpperCAmelCase								=			logging.get_logger(__name__)

__UpperCAmelCase								=			"""▁"""

__UpperCAmelCase								=			{"""vocab_file""": """sentencepiece.bpe.model""", """monolingual_vocab_file""": """dict.txt"""}

__UpperCAmelCase								=			{
    """vocab_file""": {
        """vinai/bartpho-syllable""": """https://huggingface.co/vinai/bartpho-syllable/resolve/main/sentencepiece.bpe.model""",
    },
    """monolingual_vocab_file""": {
        """vinai/bartpho-syllable""": """https://huggingface.co/vinai/bartpho-syllable/resolve/main/dict.txt""",
    },
}

__UpperCAmelCase								=			{"""vinai/bartpho-syllable""": 1_024}



class SCREAMING_SNAKE_CASE     (  a_			):
  """simple docstring"""






  lowerCamelCase   :      int										=VOCAB_FILES_NAMES
  lowerCamelCase   :      Any										=PRETRAINED_VOCAB_FILES_MAP
  lowerCamelCase   :      Tuple										=PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  lowerCamelCase   :      Any										=["input_ids", "attention_mask"]







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






     """simple docstring"""







     __lowerCAmelCase  :      Any    =						AddedToken(lowerCAmelCase	,							lstrip=lowerCAmelCase	,							rstrip=lowerCAmelCase   ) if isinstance(lowerCAmelCase	,							lowerCAmelCase   ) else mask_token

     __lowerCAmelCase  :      List[Any]    =						{} if sp_model_kwargs is None else sp_model_kwargs

     super().__init__(
         bos_token=lowerCAmelCase	,							eos_token=lowerCAmelCase	,							unk_token=lowerCAmelCase	,							sep_token=lowerCAmelCase	,							cls_token=lowerCAmelCase	,							pad_token=lowerCAmelCase	,							mask_token=lowerCAmelCase	,							sp_model_kwargs=self.sp_model_kwargs	,							**lowerCAmelCase	,							)

     __lowerCAmelCase  :      str    =						vocab_file
     __lowerCAmelCase  :      int    =						monolingual_vocab_file
     __lowerCAmelCase  :      Any    =						spm.SentencePieceProcessor(**self.sp_model_kwargs   )
     self.sp_model.Load(str(lowerCAmelCase   )   )

     # Load the reduced vocab

     # Keep order of special tokens for backward compatibility
     __lowerCAmelCase  :      Dict    =						{}
     __lowerCAmelCase  :      Tuple    =						0
     for token in [bos_token, pad_token, eos_token, unk_token, sep_token, cls_token]:
        if str(lowerCAmelCase   ) not in self.fairseq_tokens_to_ids:
           __lowerCAmelCase  :      Dict    =						cnt
           cnt += 1
     with open(lowerCAmelCase	,							"""r"""	,							encoding="""utf-8"""   ) as f:
        for line in f.readlines():
           __lowerCAmelCase  :      Union[str, Any]    =						line.strip().split()[0]
           __lowerCAmelCase  :      Union[str, Any]    =						len(self.fairseq_tokens_to_ids   )
     if str(lowerCAmelCase   ) not in self.fairseq_tokens_to_ids:
        __lowerCAmelCase  :      str    =						len(self.fairseq_tokens_to_ids   )

     __lowerCAmelCase  :      int    =						{v: k for k, v in self.fairseq_tokens_to_ids.items()}







  def __getstate__(      self			:   List[Any]   )							->     List[str]:






     """simple docstring"""







     __lowerCAmelCase  :      Any    =						self.__dict__.copy()
     __lowerCAmelCase  :      Optional[Any]    =						None
     __lowerCAmelCase  :      Optional[int]    =						self.sp_model.serialized_model_proto()
     return state







  def __setstate__(      self			:   Optional[int]	,							lowerCAmelCase			:   Optional[Any]   )							->     Optional[Any]:






     """simple docstring"""







     __lowerCAmelCase  :      List[str]    =						d

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

     __lowerCAmelCase  :      str    =						spm.SentencePieceProcessor(**self.sp_model_kwargs   )
     self.sp_model.LoadFromSerializedProto(self.sp_model_proto   )







  def 	SCREAMING_SNAKE_CASE   (      self			:   Tuple	,							lowerCAmelCase			:   List[int]	,							lowerCAmelCase			:   Optional[List[int]] = None   )							->     List[int]:






     """simple docstring"""







     if token_ids_a is None:
        return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
     __lowerCAmelCase  :      Optional[Any]    =						[self.cls_token_id]
     __lowerCAmelCase  :      Union[str, Any]    =						[self.sep_token_id]
     return cls + token_ids_a + sep + sep + token_ids_a + sep







  def 	SCREAMING_SNAKE_CASE   (      self			:   str	,							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   )

     if token_ids_a is None:
        return [1] + ([0] * len(lowerCAmelCase   )) + [1]
     return [1] + ([0] * len(lowerCAmelCase   )) + [1, 1] + ([0] * len(lowerCAmelCase   )) + [1]







  def 	SCREAMING_SNAKE_CASE   (      self			:   int	,							lowerCAmelCase			:   List[int]	,							lowerCAmelCase			:   Optional[List[int]] = None   )							->     List[int]:






     """simple docstring"""







     __lowerCAmelCase  :      Dict    =						[self.sep_token_id]
     __lowerCAmelCase  :      Dict    =						[self.cls_token_id]

     if token_ids_a is None:
        return len(cls + token_ids_a + sep   ) * [0]
     return len(cls + token_ids_a + sep + sep + token_ids_a + sep   ) * [0]







  @property
  def 	SCREAMING_SNAKE_CASE   (      self			:   Optional[int]   )							->     Optional[int]:






     """simple docstring"""







     return len(self.fairseq_ids_to_tokens   )







  def 	SCREAMING_SNAKE_CASE   (      self			:   List[Any]   )							->     Optional[int]:






     """simple docstring"""







     __lowerCAmelCase  :      List[str]    =						{self.convert_ids_to_tokens(lowerCAmelCase   ): i for i in range(self.vocab_size   )}
     vocab.update(self.added_tokens_encoder   )
     return vocab







  def 	SCREAMING_SNAKE_CASE   (      self			:   List[str]	,							lowerCAmelCase			:   str   )							->     List[str]:






     """simple docstring"""







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







  def 	SCREAMING_SNAKE_CASE   (      self			:   Any	,							lowerCAmelCase			:   Any   )							->     Dict:






     """simple docstring"""







     if token in self.fairseq_tokens_to_ids:
        return self.fairseq_tokens_to_ids[token]
     else:
        return self.unk_token_id







  def 	SCREAMING_SNAKE_CASE   (      self			:   Optional[Any]	,							lowerCAmelCase			:   int   )							->     Optional[int]:






     """simple docstring"""







     return self.fairseq_ids_to_tokens[index]







  def 	SCREAMING_SNAKE_CASE   (      self			:   Union[str, Any]	,							lowerCAmelCase			:   Union[str, Any]   )							->     List[Any]:






     """simple docstring"""







     __lowerCAmelCase  :      List[Any]    =						"""""".join(lowerCAmelCase   ).replace(lowerCAmelCase	,							""" """   ).strip()
     return out_string







  def 	SCREAMING_SNAKE_CASE   (      self			:   Dict	,							lowerCAmelCase			:   str	,							lowerCAmelCase			:   Optional[str] = None   )							->     Tuple[str]:






     """simple docstring"""







     if not os.path.isdir(lowerCAmelCase   ):
        logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''   )
        return
     __lowerCAmelCase  :      Union[str, Any]    =						os.path.join(
         lowerCAmelCase	,							(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]   )
     __lowerCAmelCase  :      List[str]    =						os.path.join(
         lowerCAmelCase	,							(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""monolingual_vocab_file"""]	,							)

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

     if os.path.abspath(self.monolingual_vocab_file   ) != os.path.abspath(
         lowerCAmelCase   ) and os.path.isfile(self.monolingual_vocab_file   ):
        copyfile(self.monolingual_vocab_file	,							lowerCAmelCase   )
     elif not os.path.isfile(self.monolingual_vocab_file   ):
        with open(lowerCAmelCase	,							"""w"""	,							encoding="""utf-8"""   ) as fp:
           for token in self.fairseq_tokens_to_ids:
              if token not in self.all_special_tokens:
                 fp.write(f'''{str(lowerCAmelCase   )} \n'''   )

     return out_vocab_file, out_monolingual_vocab_file





from pathlib import Path

import fire





def      snake_case_				(__A					:						str ,       __A					:						str ,       __A					:						int					)      ->     Any:
   __lowerCAmelCase  :      Tuple    =						Path(__A					)
   __lowerCAmelCase  :      Tuple    =						Path(__A					)
   dest_dir.mkdir(exist_ok=__A					)
   for path in src_dir.iterdir():
      __lowerCAmelCase  :      str    =						[x.rstrip() for x in list(path.open().readlines()					)][:n]
      __lowerCAmelCase  :      Dict    =						dest_dir.joinpath(path.name					)
      print(__A					)
      dest_path.open("""w"""					).write("""\n""".join(__A					)					)


if __name__ == "__main__":
   fire.Fire(minify)


