



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


UpperCAmelCase_		   =				logging.get_logger(__name__)

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

UpperCAmelCase_		   =				{
    """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""",
    },
}

UpperCAmelCase_		   =				{
    """microsoft/mpnet-base""": 5_1_2,
}

UpperCAmelCase_		   =				{
    """microsoft/mpnet-base""": {"""do_lower_case""": True},
}


class   lowerCamelCase__  (					_A):



	"""simple docstring"""

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

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

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

				_A						     =					do_lower_case

	@property
	def 						snake_case_			(						self				:				Union[str, 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 						snake_case_			(						self				:				Union[str, Any] ,	__lowerCAmelCase				:				Any			)      ->  Optional[int]:
				_A						     =					AddedToken(__lowerCAmelCase ,	lstrip=__lowerCAmelCase ,	rstrip=__lowerCAmelCase			) if isinstance(__lowerCAmelCase ,	__lowerCAmelCase			) else value
				_A						     =					value

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








from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available, is_torch_available


UpperCAmelCase_		   =				{
    """configuration_xlm_prophetnet""": ["""XLM_PROPHETNET_PRETRAINED_CONFIG_ARCHIVE_MAP""", """XLMProphetNetConfig"""],
}

try:
   if not is_sentencepiece_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   UpperCAmelCase_		   =				["""XLMProphetNetTokenizer"""]

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   UpperCAmelCase_		   =				[
       """XLM_PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST""",
       """XLMProphetNetDecoder""",
       """XLMProphetNetEncoder""",
       """XLMProphetNetForCausalLM""",
       """XLMProphetNetForConditionalGeneration""",
       """XLMProphetNetModel""",
       """XLMProphetNetPreTrainedModel""",
   ]


if TYPE_CHECKING:
   from .configuration_xlm_prophetnet import XLM_PROPHETNET_PRETRAINED_CONFIG_ARCHIVE_MAP, XLMProphetNetConfig

   try:
      if not is_sentencepiece_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .tokenization_xlm_prophetnet import XLMProphetNetTokenizer

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_xlm_prophetnet import (
          XLM_PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST,
          XLMProphetNetDecoder,
          XLMProphetNetEncoder,
          XLMProphetNetForCausalLM,
          XLMProphetNetForConditionalGeneration,
          XLMProphetNetModel,
          XLMProphetNetPreTrainedModel,
      )

else:
   import sys

   UpperCAmelCase_		   =				_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)



