

import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
 from .tokenization_xglm import XGLMTokenizer
else:
 SCREAMING_SNAKE_CASE						:List[str]      =			None


SCREAMING_SNAKE_CASE						:List[str]      =			logging.get_logger(__name__)

SCREAMING_SNAKE_CASE						:Any      =			{"""vocab_file""": """sentencepiece.bpe.model""", """tokenizer_file""": """tokenizer.json"""}

SCREAMING_SNAKE_CASE						:List[Any]      =			{
    """vocab_file""": {
        """facebook/xglm-564M""": """https://huggingface.co/facebook/xglm-564M/resolve/main/sentencepiece.bpe.model""",
    },
    """tokenizer_file""": {
        """facebook/xglm-564M""": """https://huggingface.co/facebook/xglm-564M/resolve/main/tokenizer.json""",
    },
}

SCREAMING_SNAKE_CASE						:Optional[Any]      =			{
    """facebook/xglm-564M""": 2048,
}






class 		__magic_name__ (				snake_case							):
     UpperCamelCase_     :Dict									=	VOCAB_FILES_NAMES
     UpperCamelCase_     :List[str]									=	PRETRAINED_VOCAB_FILES_MAP
     UpperCamelCase_     :int									=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     UpperCamelCase_     :str									=	["""input_ids""", """attention_mask"""]
     UpperCamelCase_     :Optional[int]									=	XGLMTokenizer






     def __init__(							self						,		_lowercase=None						,		_lowercase=None						,		_lowercase="<s>"						,		_lowercase="</s>"						,		_lowercase="</s>"						,		_lowercase="<s>"						,		_lowercase="<unk>"						,		_lowercase="<pad>"						,		**_lowercase						,		)->			List[Any]:
         # Compatibility with the original tokenizer
         UpperCamelCase_          =		7
         UpperCamelCase_          =		[F"<madeupword{i}>" for i in range(self.num_madeup_words     )]

         UpperCamelCase_          =		kwargs.get("additional_special_tokens"						,		[]     )
         kwargs["additional_special_tokens"] += [
             word for word in madeup_words if word not in kwargs["additional_special_tokens"]
         ]

         super().__init__(
             _lowercase						,		tokenizer_file=_lowercase						,		bos_token=_lowercase						,		eos_token=_lowercase						,		sep_token=_lowercase						,		cls_token=_lowercase						,		unk_token=_lowercase						,		pad_token=_lowercase						,		**_lowercase						,		)

         UpperCamelCase_          =		vocab_file
         UpperCamelCase_          =		False if not self.vocab_file else True






     def      UpperCAmelCase_							(							self						,		_lowercase						,		_lowercase = None     )->			List[int]:

         if token_ids_a is None:
             return [self.sep_token_id] + token_ids_a
         UpperCamelCase_          =		[self.sep_token_id]
         return sep + token_ids_a + sep + sep + token_ids_a






     def      UpperCAmelCase_							(							self						,		_lowercase						,		_lowercase = None     )->			List[int]:
         UpperCamelCase_          =		[self.sep_token_id]

         if token_ids_a is None:
             return len(sep + token_ids_a     ) * [0]
         return len(sep + token_ids_a + sep + sep + token_ids_a     ) * [0]






     def      UpperCAmelCase_							(							self						,		_lowercase						,		_lowercase = None     )->			Tuple[str]:
         if not self.can_save_slow_tokenizer:
             raise ValueError(
                 "Your fast tokenizer does not have the necessary information to save the vocabulary for a slow "
                 "tokenizer."     )

         if not os.path.isdir(_lowercase     ):
             logger.error(F"Vocabulary path ({save_directory}) should be a directory."     )
             return
         UpperCamelCase_          =		os.path.join(
             _lowercase						,		(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]     )

         if os.path.abspath(self.vocab_file     ) != os.path.abspath(_lowercase     ):
             copyfile(self.vocab_file						,		_lowercase     )

         return (out_vocab_file,)



from typing import TYPE_CHECKING

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


SCREAMING_SNAKE_CASE						:int      =			{"""configuration_yoso""": ["""YOSO_PRETRAINED_CONFIG_ARCHIVE_MAP""", """YosoConfig"""]}

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 SCREAMING_SNAKE_CASE						:List[Any]      =			[
     """YOSO_PRETRAINED_MODEL_ARCHIVE_LIST""",
     """YosoForMaskedLM""",
     """YosoForMultipleChoice""",
     """YosoForQuestionAnswering""",
     """YosoForSequenceClassification""",
     """YosoForTokenClassification""",
     """YosoLayer""",
     """YosoModel""",
     """YosoPreTrainedModel""",
 ]


if TYPE_CHECKING:
 from .configuration_yoso import YOSO_PRETRAINED_CONFIG_ARCHIVE_MAP, YosoConfig

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_yoso import (
      YOSO_PRETRAINED_MODEL_ARCHIVE_LIST,
      YosoForMaskedLM,
      YosoForMultipleChoice,
      YosoForQuestionAnswering,
      YosoForSequenceClassification,
      YosoForTokenClassification,
      YosoLayer,
      YosoModel,
      YosoPreTrainedModel,
  )


else:
 import sys

 SCREAMING_SNAKE_CASE						:str      =			_LazyModule(__name__, globals()["""__file__"""], _import_structure)
