from typing import TYPE_CHECKING

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


lowerCAmelCase__							= {
    'configuration_deberta_v2': ['DEBERTA_V2_PRETRAINED_CONFIG_ARCHIVE_MAP', 'DebertaV2Config', 'DebertaV2OnnxConfig'],
    'tokenization_deberta_v2': ['DebertaV2Tokenizer'],
}

try:
    if not is_tokenizers_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCAmelCase__							= ['DebertaV2TokenizerFast']

try:
    if not is_tf_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCAmelCase__							= [
        'TF_DEBERTA_V2_PRETRAINED_MODEL_ARCHIVE_LIST',
        'TFDebertaV2ForMaskedLM',
        'TFDebertaV2ForQuestionAnswering',
        'TFDebertaV2ForSequenceClassification',
        'TFDebertaV2ForTokenClassification',
        'TFDebertaV2Model',
        'TFDebertaV2PreTrainedModel',
    ]

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCAmelCase__							= [
        'DEBERTA_V2_PRETRAINED_MODEL_ARCHIVE_LIST',
        'DebertaV2ForMaskedLM',
        'DebertaV2ForMultipleChoice',
        'DebertaV2ForQuestionAnswering',
        'DebertaV2ForSequenceClassification',
        'DebertaV2ForTokenClassification',
        'DebertaV2Model',
        'DebertaV2PreTrainedModel',
    ]


if TYPE_CHECKING:
    from .configuration_deberta_va import (
        DEBERTA_V2_PRETRAINED_CONFIG_ARCHIVE_MAP,
        DebertaVaConfig,
        DebertaVaOnnxConfig,
    )
    from .tokenization_deberta_va import DebertaVaTokenizer

    try:
        if not is_tokenizers_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .tokenization_deberta_va_fast import DebertaVaTokenizerFast

    try:
        if not is_tf_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_tf_deberta_va import (
            TF_DEBERTA_V2_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFDebertaVaForMaskedLM,
            TFDebertaVaForQuestionAnswering,
            TFDebertaVaForSequenceClassification,
            TFDebertaVaForTokenClassification,
            TFDebertaVaModel,
            TFDebertaVaPreTrainedModel,
        )

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_deberta_va import (
            DEBERTA_V2_PRETRAINED_MODEL_ARCHIVE_LIST,
            DebertaVaForMaskedLM,
            DebertaVaForMultipleChoice,
            DebertaVaForQuestionAnswering,
            DebertaVaForSequenceClassification,
            DebertaVaForTokenClassification,
            DebertaVaModel,
            DebertaVaPreTrainedModel,
        )

else:
    import sys

    lowerCAmelCase__							= _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)

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


lowerCAmelCase__							= logging.get_logger(__name__)

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

lowerCAmelCase__							= {
    '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',
    },
}

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

lowerCAmelCase__							= {
    'microsoft/mpnet-base': {'do_lower_case': True},
}
class 				a_ (						SCREAMING_SNAKE_CASE						):






 '''simple docstring'''






 UpperCAmelCase_	 =					VOCAB_FILES_NAMES
 UpperCAmelCase_	 =					PRETRAINED_VOCAB_FILES_MAP
 UpperCAmelCase_	 =					PRETRAINED_INIT_CONFIGURATION
 UpperCAmelCase_	 =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 UpperCAmelCase_	 =					MPNetTokenizer
 UpperCAmelCase_	 =					['input_ids', 'attention_mask']




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







        '''simple docstring'''



        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__			,    )

        lowerCAmelCase__     	=					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
        ):
               lowerCAmelCase__     	=					getattr(lowercase__			,    pre_tok_state.pop('type'))
               lowerCAmelCase__     	=					do_lower_case
               lowerCAmelCase__     	=					strip_accents
               lowerCAmelCase__     	=					pre_tok_class(**lowercase__)

        lowerCAmelCase__     	=					do_lower_case




 @property
 def 		__snake_case						(			self					:  Tuple):







        '''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					:  Optional[int]			,    lowercase__					:  str):







        '''simple docstring'''



        lowerCAmelCase__     	=					AddedToken(lowercase__			,    lstrip=lowercase__			,    rstrip=lowercase__) if isinstance(lowercase__			,    lowercase__) else value
        lowerCAmelCase__     	=					value




 def 		__snake_case						(			self					:  Tuple			,    lowercase__					:  Union[str, Any]			,    lowercase__					:  Any=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 		__snake_case						(			self					:  Optional[int]			,    lowercase__					:  List[int]			,    lowercase__					:  Optional[List[int]] = 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 		__snake_case						(			self					:  Tuple			,    lowercase__					:  str			,    lowercase__					:  Optional[str] = None):







        '''simple docstring'''



        lowerCAmelCase__     	=					self._tokenizer.model.save(lowercase__			,    name=lowercase__)
        return tuple(lowercase__)
