


from ...configuration_utils import PretrainedConfig
from ...utils import logging


_snake_case					=					logging.get_logger(__name__)

_snake_case					=					{
    '''tau/splinter-base''': '''https://huggingface.co/tau/splinter-base/resolve/main/config.json''',
    '''tau/splinter-base-qass''': '''https://huggingface.co/tau/splinter-base-qass/resolve/main/config.json''',
    '''tau/splinter-large''': '''https://huggingface.co/tau/splinter-large/resolve/main/config.json''',
    '''tau/splinter-large-qass''': '''https://huggingface.co/tau/splinter-large-qass/resolve/main/config.json''',
    # See all Splinter models at https://huggingface.co/models?filter=splinter
}
class      UpperCAmelCase_ ( UpperCamelCase   ):

   '''simple docstring'''




   __A			:				int							=		"splinter"






   def __init__(		self						,    __A=3_0522						,    __A=768						,    __A=12						,    __A=12						,    __A=3072						,    __A="gelu"						,    __A=0.1						,    __A=0.1						,    __A=512						,    __A=2						,    __A=0.02						,    __A=1e-12						,    __A=True						,    __A=0						,    __A=104						,    **__A						,    ):






     """simple docstring"""





     super().__init__(pad_token_id=__A						,    **__A			)

     lowerCamelCase			: Optional[Any]   =    vocab_size
     lowerCamelCase			: Dict   =    max_position_embeddings
     lowerCamelCase			: str   =    hidden_size
     lowerCamelCase			: Dict   =    num_hidden_layers
     lowerCamelCase			: Optional[Any]   =    num_attention_heads
     lowerCamelCase			: List[str]   =    intermediate_size
     lowerCamelCase			: Optional[Any]   =    hidden_act
     lowerCamelCase			: List[str]   =    hidden_dropout_prob
     lowerCamelCase			: List[Any]   =    attention_probs_dropout_prob
     lowerCamelCase			: List[str]   =    initializer_range
     lowerCamelCase			: List[str]   =    type_vocab_size
     lowerCamelCase			: Dict   =    layer_norm_eps
     lowerCamelCase			: Any   =    use_cache
     lowerCamelCase			: List[str]   =    question_token_id







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


_snake_case					=					logging.get_logger(__name__)

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

_snake_case					=					{
    '''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''',
    },
}

_snake_case					=					{
    '''microsoft/mpnet-base''': 5_12,
}

_snake_case					=					{
    '''microsoft/mpnet-base''': {'''do_lower_case''': True},
}
class      UpperCAmelCase_ ( UpperCamelCase   ):

   '''simple docstring'''




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






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






     """simple docstring"""





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

     lowerCamelCase			: List[Any]   =    json.loads(self.backend_tokenizer.normalizer.__getstate__()			)
     if (
         pre_tok_state.get("lowercase"						,    __A			) != do_lower_case
         or pre_tok_state.get("strip_accents"						,    __A			) != strip_accents
     ):
       lowerCamelCase			: Dict   =    getattr(__A						,    pre_tok_state.pop("type"			)			)
       lowerCamelCase			: List[str]   =    do_lower_case
       lowerCamelCase			: Tuple   =    strip_accents
       lowerCamelCase			: int   =    pre_tok_class(**__A			)

     lowerCamelCase			: List[Any]   =    do_lower_case






   @property
   def _snake_case   (		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 _snake_case   (		self						,    __A			):






     """simple docstring"""





     lowerCamelCase			: Tuple   =    AddedToken(__A						,    lstrip=__A						,    rstrip=__A			) if isinstance(__A						,    __A			) else value
     lowerCamelCase			: Dict   =    value






   def _snake_case   (		self						,    __A						,    __A=None			):






     """simple docstring"""





     lowerCamelCase			: Optional[Any]   =    [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 _snake_case   (		self						,    __A						,    __A = None			):






     """simple docstring"""





     lowerCamelCase			: Any   =    [self.sep_token_id]
     lowerCamelCase			: Union[str, Any]   =    [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 _snake_case   (		self						,    __A						,    __A = None			):






     """simple docstring"""





     lowerCamelCase			: int   =    self._tokenizer.model.save(__A						,    name=__A			)
     return tuple(__A			)



