






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_barthez import BarthezTokenizer
else:
						__UpperCamelCase      :      List[Any]     						=						None

__UpperCamelCase      :      Tuple     						=						logging.get_logger(__name__)

__UpperCamelCase      :      Union[str, Any]     						=						{"""vocab_file""": """sentencepiece.bpe.model""", """tokenizer_file""": """tokenizer.json"""}

__UpperCamelCase      :      Optional[int]     						=						{
    """vocab_file""": {
        """moussaKam/mbarthez""": """https://huggingface.co/moussaKam/mbarthez/resolve/main/sentencepiece.bpe.model""",
        """moussaKam/barthez""": """https://huggingface.co/moussaKam/barthez/resolve/main/sentencepiece.bpe.model""",
        """moussaKam/barthez-orangesum-title""": (
            """https://huggingface.co/moussaKam/barthez-orangesum-title/resolve/main/sentencepiece.bpe.model"""
        ),
    },
    """tokenizer_file""": {
        """moussaKam/mbarthez""": """https://huggingface.co/moussaKam/mbarthez/resolve/main/tokenizer.json""",
        """moussaKam/barthez""": """https://huggingface.co/moussaKam/barthez/resolve/main/tokenizer.json""",
        """moussaKam/barthez-orangesum-title""": (
            """https://huggingface.co/moussaKam/barthez-orangesum-title/resolve/main/tokenizer.json"""
        ),
    },
}

__UpperCamelCase      :      Union[str, Any]     						=						{
    """moussaKam/mbarthez""": 1024,
    """moussaKam/barthez""": 1024,
    """moussaKam/barthez-orangesum-title""": 1024,
}

__UpperCamelCase      :      Optional[Any]     						=						"""▁"""


class        __UpperCamelCase    (     _lowerCAmelCase   ):
	__snake_case	:Any   =       VOCAB_FILES_NAMES
	__snake_case	:List[str]   =       PRETRAINED_VOCAB_FILES_MAP
	__snake_case	:Optional[Any]   =       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	__snake_case	:Optional[Any]   =       ['input_ids', 'attention_mask']
	__snake_case	:Tuple   =       BarthezTokenizer







	def __init__(  self      :							int       ,				_lowerCAmelCase      :							List[Any]=None       ,				_lowerCAmelCase      :							Dict=None       ,				_lowerCAmelCase      :							Optional[int]="<s>"       ,				_lowerCAmelCase      :							Any="</s>"       ,				_lowerCAmelCase      :							List[str]="</s>"       ,				_lowerCAmelCase      :							int="<s>"       ,				_lowerCAmelCase      :							Union[str, Any]="<unk>"       ,				_lowerCAmelCase      :							Optional[int]="<pad>"       ,				_lowerCAmelCase      :							Any="<mask>"       ,				**_lowerCAmelCase      :							Optional[Any]       ,				)		-> int:
		"""simple docstring"""







		__lowercase             =  AddedToken(_lowerCAmelCase       ,				lstrip=_lowerCAmelCase       ,				rstrip=_lowerCAmelCase			) if isinstance(_lowerCAmelCase       ,				_lowerCAmelCase			) else mask_token

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

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







	def  _a   (  self      :							str       ,				_lowerCAmelCase      :							List[int]       ,				_lowerCAmelCase      :							Optional[List[int]] = None			)		-> List[int]:
		"""simple docstring"""







		if token_ids_a is None:
			return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
		__lowercase             =  [self.cls_token_id]
		__lowercase             =  [self.sep_token_id]
		return cls + token_ids_a + sep + sep + token_ids_a + sep







	def  _a   (  self      :							Optional[Any]       ,				_lowerCAmelCase      :							List[int]       ,				_lowerCAmelCase      :							Optional[List[int]] = None			)		-> List[int]:
		"""simple docstring"""







		__lowercase             =  [self.sep_token_id]
		__lowercase             =  [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  _a   (  self      :							List[Any]       ,				_lowerCAmelCase      :							str       ,				_lowerCAmelCase      :							Optional[str] = None			)		-> Tuple[str]:
		"""simple docstring"""







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

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

		return (out_vocab_file,)









from __future__ import annotations





def 				snake_case  (     lowerCamelCase					):




	'''simple docstring'''







	if len(lowerCamelCase					) < 2:
		raise ValueError("""Monogons and Digons are not polygons in the Euclidean space"""					)
	if any(i <= 0 for i in nums					):
		raise ValueError("""All values must be greater than 0"""					)
	__lowercase             =  nums.copy()
	copy_nums.sort()
	return copy_nums[-1] < sum(copy_nums[:-1]					)


if __name__ == "__main__":
						import doctest

						doctest.testmod()

