



"""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


__a           =							logging.get_logger(__name__)

__a           =							{"vocab_file": "vocab.txt", "tokenizer_file": "tokenizer.json"}

__a           =							{
    "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           =							{
    "microsoft/mpnet-base": 5_12,
}

__a           =							{
    "microsoft/mpnet-base": {"do_lower_case": True},
}
class 							lowerCamelCase    (     _lowerCAmelCase							):






					'''simple docstring'''





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






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

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

											snake_case_					:int		=     do_lower_case






					@property
					def   lowerCAmelCase_							(			self:				Optional[Any]		)  ->      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:				Dict		,	snake_case:				int		)  ->      Optional[int]:
											snake_case_					:int		=     AddedToken(snake_case		,	lstrip=snake_case		,	rstrip=snake_case		) if isinstance(snake_case		,	snake_case		) else value
											snake_case_					:int		=     value






					def   lowerCAmelCase_							(			self:				Tuple		,	snake_case:				Optional[int]		,	snake_case:				int=None		)  ->      Optional[Any]:
											snake_case_					:List[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   lowerCAmelCase_							(			self:				Optional[int]		,	snake_case:				List[int]		,	snake_case:				Optional[List[int]] = None		)  ->      List[int]:
											snake_case_					:Optional[Any]		=     [self.sep_token_id]
											snake_case_					: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   lowerCAmelCase_							(			self:				Dict		,	snake_case:				str		,	snake_case:				Optional[str] = None		)  ->      Tuple[str]:
											snake_case_					:Optional[Any]		=     self._tokenizer.model.save(snake_case		,	name=snake_case		)
											return tuple(snake_case		)








"""simple docstring"""


from typing import TYPE_CHECKING

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


lowercase_								=	{
    'configuration_gptsan_japanese': ['GPTSAN_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP', 'GPTSanJapaneseConfig'],
    'tokenization_gptsan_japanese': ['GPTSanJapaneseTokenizer'],
}

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       lowercase_								=	[
           'GPTSAN_JAPANESE_PRETRAINED_MODEL_ARCHIVE_LIST',
           'GPTSanJapaneseForConditionalGeneration',
           'GPTSanJapaneseModel',
           'GPTSanJapanesePreTrainedModel',
       ]
       lowercase_								=	[
           'GPTSanJapaneseTokenizer',
       ]


if TYPE_CHECKING:
       from .configuration_gptsan_japanese import GPTSAN_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTSanJapaneseConfig
       from .tokenization_gptsan_japanese import GPTSanJapaneseTokenizer

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_gptsan_japanese import (
                  GPTSAN_JAPANESE_PRETRAINED_MODEL_ARCHIVE_LIST,
                  GPTSanJapaneseForConditionalGeneration,
                  GPTSanJapaneseModel,
                  GPTSanJapanesePreTrainedModel,
              )
              from .tokenization_gptsan_japanese import GPTSanJapaneseTokenizer


else:
       import sys

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




