






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

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


if is_sentencepiece_available():
						from .tokenization_xlnet import XLNetTokenizer
else:
						__UpperCamelCase					:		Optional[Any]	  =						None


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

__UpperCamelCase					:		Optional[Any]	  =						{"""vocab_file""": """spiece.model""", """tokenizer_file""": """tokenizer.json"""}

__UpperCamelCase					:		str	  =						{
    """vocab_file""": {
        """xlnet-base-cased""": """https://huggingface.co/xlnet-base-cased/resolve/main/spiece.model""",
        """xlnet-large-cased""": """https://huggingface.co/xlnet-large-cased/resolve/main/spiece.model""",
    },
    """tokenizer_file""": {
        """xlnet-base-cased""": """https://huggingface.co/xlnet-base-cased/resolve/main/tokenizer.json""",
        """xlnet-large-cased""": """https://huggingface.co/xlnet-large-cased/resolve/main/tokenizer.json""",
    },
}

__UpperCamelCase					:		Any	  =						{
    """xlnet-base-cased""": None,
    """xlnet-large-cased""": None,
}

__UpperCamelCase					:		Union[str, Any]	  =						"""▁"""

# Segments (not really needed)
__UpperCamelCase					:		List[str]	  =						0
__UpperCamelCase					:		Optional[Any]	  =						1
__UpperCamelCase					:		Dict	  =						2
__UpperCamelCase					:		str	  =						3
__UpperCamelCase					:		Dict	  =						4


class   __SCREAMING_SNAKE_CASE(	_snake_case	):
							_UpperCAmelCase     =       VOCAB_FILES_NAMES
							_UpperCAmelCase     =       PRETRAINED_VOCAB_FILES_MAP
							_UpperCAmelCase     =       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							_UpperCAmelCase     =       'left'
							_UpperCAmelCase     =       XLNetTokenizer
							def __init__(     self:      List[str]       ,	UpperCamelCase:      Any=None       ,	UpperCamelCase:      Tuple=None       ,	UpperCamelCase:      Optional[Any]=False       ,	UpperCamelCase:      int=True       ,	UpperCamelCase:      str=False       ,	UpperCamelCase:      Union[str, Any]="<s>"       ,	UpperCamelCase:      Optional[int]="</s>"       ,	UpperCamelCase:      List[str]="<unk>"       ,	UpperCamelCase:      Optional[int]="<sep>"       ,	UpperCamelCase:      Any="<pad>"       ,	UpperCamelCase:      str="<cls>"       ,	UpperCamelCase:      Dict="<mask>"       ,	UpperCamelCase:      List[Any]=["<eop>", "<eod>"]       ,	**UpperCamelCase:      int       ,	)		->		Dict:
											snake_case__									=     AddedToken(UpperCamelCase       ,	lstrip=UpperCamelCase       ,	rstrip=UpperCamelCase						) if isinstance(UpperCamelCase       ,	UpperCamelCase						) else mask_token

											super().__init__(
											    vocab_file=UpperCamelCase       ,	tokenizer_file=UpperCamelCase       ,	do_lower_case=UpperCamelCase       ,	remove_space=UpperCamelCase       ,	keep_accents=UpperCamelCase       ,	bos_token=UpperCamelCase       ,	eos_token=UpperCamelCase       ,	unk_token=UpperCamelCase       ,	sep_token=UpperCamelCase       ,	pad_token=UpperCamelCase       ,	cls_token=UpperCamelCase       ,	mask_token=UpperCamelCase       ,	additional_special_tokens=UpperCamelCase       ,	**UpperCamelCase       ,	)

											snake_case__									=     3
											snake_case__									=     do_lower_case
											snake_case__									=     remove_space
											snake_case__									=     keep_accents
											snake_case__									=     vocab_file
											snake_case__									=     False if not self.vocab_file else True
							def lowerCAmelCase_ (     self:      Dict       ,	UpperCamelCase:      List[int]       ,	UpperCamelCase:      Optional[List[int]] = None						)		->		Dict:
											snake_case__									=     [self.sep_token_id]
											snake_case__									=     [self.cls_token_id]
											if token_ids_a is None:
															return token_ids_a + sep + cls
											return token_ids_a + sep + token_ids_a + sep + cls
							def lowerCAmelCase_ (     self:      Tuple       ,	UpperCamelCase:      List[int]       ,	UpperCamelCase:      Optional[List[int]] = None						)		->		List[str]:
											snake_case__									=     [self.sep_token_id]
											snake_case__									=     [2]

											if token_ids_a is None:
															return len(token_ids_a + sep						) * [0] + cls_segment_id
											return len(token_ids_a + sep						) * [0] + len(token_ids_a + sep						) * [1] + cls_segment_id


							def lowerCAmelCase_ (     self:      Union[str, Any]       ,	UpperCamelCase:      str       ,	UpperCamelCase:      Optional[str] = None						)		->		Optional[int]:

											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(UpperCamelCase						):
															logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''						)
															return
											snake_case__									=     os.path.join(
											    UpperCamelCase       ,	(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']						)

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

											return (out_vocab_file,)












def      a_ (      _A = 4000000  )			->			int:







				"""simple docstring"""
				snake_case__									=     [0, 1]
				snake_case__									=     0
				while fib[i] <= n:
								fib.append(fib[i] + fib[i + 1]  )
								if fib[i + 2] > n:
												break
								i += 1
				snake_case__									=     0
				for j in range(len(_A  ) - 1  ):
								if fib[j] % 2 == 0:
												total += fib[j]

				return total


if __name__ == "__main__":
							print(f'''{solution() = }''')




