"""simple docstring"""







from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
)


_SCREAMING_SNAKE_CASE  :		Any        =      {
    '''configuration_bark''': [
        '''BARK_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''BarkCoarseConfig''',
        '''BarkConfig''',
        '''BarkFineConfig''',
        '''BarkSemanticConfig''',
    ],
    '''processing_bark''': ['''BarkProcessor'''],
}

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     _SCREAMING_SNAKE_CASE  :		Dict        =      [
         '''BARK_PRETRAINED_MODEL_ARCHIVE_LIST''',
         '''BarkFineModel''',
         '''BarkSemanticModel''',
         '''BarkCoarseModel''',
         '''BarkModel''',
         '''BarkPreTrainedModel''',
         '''BarkCausalModel''',
     ]

if TYPE_CHECKING:
     from .configuration_bark import (
         BARK_PRETRAINED_CONFIG_ARCHIVE_MAP,
         BarkCoarseConfig,
         BarkConfig,
         BarkFineConfig,
         BarkSemanticConfig,
     )
     from .processing_bark import BarkProcessor

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_bark import (
              BARK_PRETRAINED_MODEL_ARCHIVE_LIST,
              BarkCausalModel,
              BarkCoarseModel,
              BarkFineModel,
              BarkModel,
              BarkPreTrainedModel,
              BarkSemanticModel,
          )

else:
     import sys

     _SCREAMING_SNAKE_CASE  :		Tuple        =      _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)







"""simple docstring"""







import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_mpnet import MPNetTokenizer


_SCREAMING_SNAKE_CASE  :		List[str]        =      logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE  :		Any        =      {'''vocab_file''': '''vocab.txt''', '''tokenizer_file''': '''tokenizer.json'''}

_SCREAMING_SNAKE_CASE  :		Optional[Any]        =      {
    '''vocab_file''': {
        '''microsoft/mpnet-base''': '''https://huggingface.co/microsoft/mpnet-base/resolve/main/vocab.txt''',
    },
    '''tokenizer_file''': {
        '''microsoft/mpnet-base''': '''https://huggingface.co/microsoft/mpnet-base/resolve/main/tokenizer.json''',
    },
}

_SCREAMING_SNAKE_CASE  :		int        =      {
    '''microsoft/mpnet-base''': 5_1_2,
}

_SCREAMING_SNAKE_CASE  :		Tuple        =      {
    '''microsoft/mpnet-base''': {'''do_lower_case''': True},
}






class     _SCREAMING_SNAKE_CASE       ( UpperCAmelCase							):



   '''simple docstring'''



   __UpperCAmelCase  :       Optional[int]						=						VOCAB_FILES_NAMES
   __UpperCAmelCase  :       Dict						=						PRETRAINED_VOCAB_FILES_MAP
   __UpperCAmelCase  :       Dict						=						PRETRAINED_INIT_CONFIGURATION
   __UpperCAmelCase  :       Dict						=						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   __UpperCAmelCase  :       Union[str, Any]						=						MPNetTokenizer
   __UpperCAmelCase  :       List[Any]						=						["input_ids", "attention_mask"]







   def __init__(  self   ,							_SCREAMING_SNAKE_CASE=None   ,							_SCREAMING_SNAKE_CASE=None   ,							_SCREAMING_SNAKE_CASE=True   ,							_SCREAMING_SNAKE_CASE="<s>"   ,							_SCREAMING_SNAKE_CASE="</s>"   ,							_SCREAMING_SNAKE_CASE="</s>"   ,							_SCREAMING_SNAKE_CASE="<s>"   ,							_SCREAMING_SNAKE_CASE="[UNK]"   ,							_SCREAMING_SNAKE_CASE="<pad>"   ,							_SCREAMING_SNAKE_CASE="<mask>"   ,							_SCREAMING_SNAKE_CASE=True   ,							_SCREAMING_SNAKE_CASE=None   ,							**_SCREAMING_SNAKE_CASE   ,							):


      '''simple docstring'''

      super().__init__(
          _SCREAMING_SNAKE_CASE   ,							tokenizer_file=_SCREAMING_SNAKE_CASE   ,							do_lower_case=_SCREAMING_SNAKE_CASE   ,							bos_token=_SCREAMING_SNAKE_CASE   ,							eos_token=_SCREAMING_SNAKE_CASE   ,							sep_token=_SCREAMING_SNAKE_CASE   ,							cls_token=_SCREAMING_SNAKE_CASE   ,							unk_token=_SCREAMING_SNAKE_CASE   ,							pad_token=_SCREAMING_SNAKE_CASE   ,							mask_token=_SCREAMING_SNAKE_CASE   ,							tokenize_chinese_chars=_SCREAMING_SNAKE_CASE   ,							strip_accents=_SCREAMING_SNAKE_CASE   ,							**_SCREAMING_SNAKE_CASE   ,							)

      __lowerCamelCase								=				json.loads(self.backend_tokenizer.normalizer.__getstate__()  )
      if (
          pre_tok_state.get('lowercase'   ,							_SCREAMING_SNAKE_CASE  ) != do_lower_case
          or pre_tok_state.get('strip_accents'   ,							_SCREAMING_SNAKE_CASE  ) != strip_accents
      ):
         __lowerCamelCase								=				getattr(_SCREAMING_SNAKE_CASE   ,							pre_tok_state.pop('type'  )  )
         __lowerCamelCase								=				do_lower_case
         __lowerCamelCase								=				strip_accents
         __lowerCamelCase								=				pre_tok_class(**_SCREAMING_SNAKE_CASE  )

      __lowerCamelCase								=				do_lower_case







   @property
   def       _A							(  self  ):


      '''simple docstring'''

      if self._mask_token is None:
         if self.verbose:
            logger.error('Using mask_token, but it is not set yet.'  )
         return None
      return str(self._mask_token  )







   @mask_token.setter
   def       _A							(  self   ,							_SCREAMING_SNAKE_CASE  ):


      '''simple docstring'''

      __lowerCamelCase								=				AddedToken(_SCREAMING_SNAKE_CASE   ,							lstrip=_SCREAMING_SNAKE_CASE   ,							rstrip=_SCREAMING_SNAKE_CASE  ) if isinstance(_SCREAMING_SNAKE_CASE   ,							_SCREAMING_SNAKE_CASE  ) else value
      __lowerCamelCase								=				value







   def       _A							(  self   ,							_SCREAMING_SNAKE_CASE   ,							_SCREAMING_SNAKE_CASE=None  ):


      '''simple docstring'''

      __lowerCamelCase								=				[self.bos_token_id] + token_ids_a + [self.eos_token_id]
      if token_ids_a is None:
         return output

      return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]







   def       _A							(  self   ,							_SCREAMING_SNAKE_CASE   ,							_SCREAMING_SNAKE_CASE = None  ):


      '''simple docstring'''

      __lowerCamelCase								=				[self.sep_token_id]
      __lowerCamelCase								=				[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]







   def       _A							(  self   ,							_SCREAMING_SNAKE_CASE   ,							_SCREAMING_SNAKE_CASE = None  ):


      '''simple docstring'''

      __lowerCamelCase								=				self._tokenizer.model.save(_SCREAMING_SNAKE_CASE   ,							name=_SCREAMING_SNAKE_CASE  )
      return tuple(_SCREAMING_SNAKE_CASE  )






