

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


A_		:			Optional[Any]										=   logging.get_logger(__name__)

A_		:			Optional[Any]										=   {'vocab_file': 'vocab.txt', 'tokenizer_file': 'tokenizer.json'}

A_		:			int										=   {
    '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',
    },
}

A_		:			int										=   {
    'microsoft/mpnet-base': 512,
}

A_		:			int										=   {
    'microsoft/mpnet-base': {'do_lower_case': True},
}
class 					A_   (      _a						):


    '''simple docstring'''






    a__     							=       VOCAB_FILES_NAMES
    a__     							=       PRETRAINED_VOCAB_FILES_MAP
    a__     							=       PRETRAINED_INIT_CONFIGURATION
    a__     							=       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    a__     							=       MPNetTokenizer
    a__     							=       ["input_ids", "attention_mask"]


    def __init__(self     ,      lowercase__=None     ,      lowercase__=None     ,      lowercase__=True     ,      lowercase__="<s>"     ,      lowercase__="</s>"     ,      lowercase__="</s>"     ,      lowercase__="<s>"     ,      lowercase__="[UNK]"     ,      lowercase__="<pad>"     ,      lowercase__="<mask>"     ,      lowercase__=True     ,      lowercase__=None     ,      **lowercase__     ,      )     ->      int:
        super().__init__(
            lowercase__     ,      tokenizer_file=lowercase__     ,      do_lower_case=lowercase__     ,      bos_token=lowercase__     ,      eos_token=lowercase__     ,      sep_token=lowercase__     ,      cls_token=lowercase__     ,      unk_token=lowercase__     ,      pad_token=lowercase__     ,      mask_token=lowercase__     ,      tokenize_chinese_chars=lowercase__     ,      strip_accents=lowercase__     ,      **lowercase__     ,      )

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

        __UpperCAmelCase									=			do_lower_case


    @property
    def      lowerCAmelCase_						(self  )     ->      str:
        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      lowerCAmelCase_						(self     ,      lowercase__  )     ->      Any:
        __UpperCAmelCase									=			AddedToken(lowercase__     ,      lstrip=lowercase__     ,      rstrip=lowercase__  ) if isinstance(lowercase__     ,      lowercase__  ) else value
        __UpperCAmelCase									=			value


    def      lowerCAmelCase_						(self     ,      lowercase__     ,      lowercase__=None  )     ->      str:
        __UpperCAmelCase									=			[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      lowerCAmelCase_						(self     ,      lowercase__     ,      lowercase__ = None  )     ->      List[int]:
        __UpperCAmelCase									=			[self.sep_token_id]
        __UpperCAmelCase									=			[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      lowerCAmelCase_						(self     ,      lowercase__     ,      lowercase__ = None  )     ->      Tuple[str]:
        __UpperCAmelCase									=			self._tokenizer.model.save(lowercase__     ,      name=lowercase__  )
        return tuple(lowercase__  )







import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto.configuration_auto import AutoConfig


A_		:			int										=   logging.get_logger(__name__)
class 					A_   (      _a						):


    '''simple docstring'''






    a__     							=       "speech-encoder-decoder"
    a__     							=       True


    def __init__(self     ,      **lowercase__  )     ->      Optional[int]:
        super().__init__(**lowercase__  )
        if "encoder" not in kwargs or "decoder" not in kwargs:
            raise ValueError(
                F'''A configuraton of type {self.model_type} cannot be instantiated because not both `encoder` and'''
                F''' `decoder` sub-configurations are passed, but only {kwargs}'''  )

        __UpperCAmelCase									=			kwargs.pop('''encoder'''  )
        __UpperCAmelCase									=			encoder_config.pop('''model_type'''  )
        __UpperCAmelCase									=			kwargs.pop('''decoder'''  )
        __UpperCAmelCase									=			decoder_config.pop('''model_type'''  )

        __UpperCAmelCase									=			AutoConfig.for_model(lowercase__     ,      **lowercase__  )
        __UpperCAmelCase									=			AutoConfig.for_model(lowercase__     ,      **lowercase__  )
        __UpperCAmelCase									=			True


    @classmethod
    def      lowerCAmelCase_						(cls     ,      lowercase__     ,      lowercase__     ,      **lowercase__  )     ->      PretrainedConfig:
        logger.info('''Setting `config.is_decoder=True` and `config.add_cross_attention=True` for decoder_config'''  )
        __UpperCAmelCase									=			True
        __UpperCAmelCase									=			True

        return cls(encoder=encoder_config.to_dict()     ,      decoder=decoder_config.to_dict()     ,      **lowercase__  )






    def      lowerCAmelCase_						(self  )     ->      Optional[Any]:
        __UpperCAmelCase									=			copy.deepcopy(self.__dict__  )
        __UpperCAmelCase									=			self.encoder.to_dict()
        __UpperCAmelCase									=			self.decoder.to_dict()
        __UpperCAmelCase									=			self.__class__.model_type
        return output




