






"""simple docstring"""





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

import sentencepiece as spm

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


lowercase__				:int				   =       logging.get_logger(__name__)

lowercase__				:Union[str, Any]				   =       {'vocab_file': 'spm_char.model'}

lowercase__				:str				   =       {
    'vocab_file': {
        'microsoft/speecht5_asr': 'https://huggingface.co/microsoft/speecht5_asr/resolve/main/spm_char.model',
        'microsoft/speecht5_tts': 'https://huggingface.co/microsoft/speecht5_tts/resolve/main/spm_char.model',
        'microsoft/speecht5_vc': 'https://huggingface.co/microsoft/speecht5_vc/resolve/main/spm_char.model',
    }
}

lowercase__				:Tuple				   =       {
    'microsoft/speecht5_asr': 1_0_2_4,
    'microsoft/speecht5_tts': 1_0_2_4,
    'microsoft/speecht5_vc': 1_0_2_4,
}




class 							snake_case							(			__A ):

      '''simple docstring'''



      _A     :       str         =       VOCAB_FILES_NAMES
      _A     :       List[str]         =       PRETRAINED_VOCAB_FILES_MAP
      _A     :       Optional[int]         =       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      _A     :       Dict         =       ["""input_ids""", """attention_mask"""]

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


        '''simple docstring'''




        __UpperCAmelCase    :						Union[str, Any]       =						{} if sp_model_kwargs is None else sp_model_kwargs

        super().__init__(
            bos_token=UpperCamelCase__						,				eos_token=UpperCamelCase__						,				unk_token=UpperCamelCase__						,				pad_token=UpperCamelCase__						,				sp_model_kwargs=self.sp_model_kwargs						,				**UpperCamelCase__						,				)

        __UpperCAmelCase    :						Optional[Any]       =						vocab_file

        __UpperCAmelCase    :						Union[str, Any]       =						spm.SentencePieceProcessor(**self.sp_model_kwargs )
        self.sp_model.Load(UpperCamelCase__ )

      @property
      def       A_					(							self       :      Optional[Any] ):


        '''simple docstring'''




        return self.sp_model.get_piece_size()

      def       A_					(							self       :      Any ):


        '''simple docstring'''




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

      def __getstate__(							self       :      List[str] ):


        '''simple docstring'''




        __UpperCAmelCase    :						str       =						self.__dict__.copy()
        __UpperCAmelCase    :						List[str]       =						None
        return state

      def __setstate__(							self       :      Union[str, Any]						,				__lowercase       :      Tuple ):


        '''simple docstring'''




        __UpperCAmelCase    :						Union[str, Any]       =						d

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

        __UpperCAmelCase    :						List[Any]       =						spm.SentencePieceProcessor(**self.sp_model_kwargs )
        self.sp_model.Load(self.vocab_file )

      def       A_					(							self       :      List[str]						,				__lowercase       :      str ):


        '''simple docstring'''




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

      def       A_					(							self       :      List[str]						,				__lowercase       :      List[str] ):


        '''simple docstring'''




        return self.sp_model.piece_to_id(UpperCamelCase__ )

      def       A_					(							self       :      Dict						,				__lowercase       :      Optional[Any] ):


        '''simple docstring'''




        __UpperCAmelCase    :						Union[str, Any]       =						self.sp_model.IdToPiece(UpperCamelCase__ )
        return token

      def       A_					(							self       :      int						,				__lowercase       :      Tuple ):


        '''simple docstring'''




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

      def       A_					(							self       :      str						,				__lowercase       :      Dict						,				__lowercase       :      str=None ):


        '''simple docstring'''




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

      def       A_					(							self       :      int						,				__lowercase       :      List[Any]						,				__lowercase       :      Any = None						,				__lowercase       :      Any = False ):


        '''simple docstring'''




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

        __UpperCAmelCase    :						Union[str, Any]       =						[1]
        if token_ids_a is None:
          return ([0] * len(UpperCamelCase__ )) + suffix_ones
        return ([0] * len(UpperCamelCase__ )) + ([0] * len(UpperCamelCase__ )) + suffix_ones







      def       A_					(							self       :      List[str]						,				__lowercase       :      Tuple						,				__lowercase       :      Dict = None ):


        '''simple docstring'''




        if not os.path.isdir(UpperCamelCase__ ):
          logger.error(f'''Vocabulary path ({save_directory}) should be a directory''' )
          return
        __UpperCAmelCase    :						Optional[int]       =						os.path.join(
            UpperCamelCase__						,				(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file'''] )

        if os.path.abspath(self.vocab_file ) != os.path.abspath(UpperCamelCase__ ) and os.path.isfile(self.vocab_file ):
          copyfile(self.vocab_file						,				UpperCamelCase__ )
        elif not os.path.isfile(self.vocab_file ):
          with open(UpperCamelCase__						,				'''wb''' ) as fi:
            __UpperCAmelCase    :						Tuple       =						self.sp_model.serialized_model_proto()
            fi.write(UpperCamelCase__ )

        return (out_vocab_file,)






"""simple docstring"""





# flake8: noqa
# Lint as: python3
lowercase__				:Tuple				   =       [
    'VerificationMode',
    'Version',
    'disable_progress_bar',
    'enable_progress_bar',
    'is_progress_bar_enabled',
    'experimental',
]

from .info_utils import VerificationMode
from .logging import disable_progress_bar, enable_progress_bar, is_progress_bar_enabled
from .version import Version
from .experimental import experimental