

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:
			a_     =			None

a_     =			logging.get_logger(__name__)

a_     =			{'vocab_file': 'sentencepiece.bpe.model', 'tokenizer_file': 'tokenizer.json'}

a_     =			{
    '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'
        ),
    },
}

a_     =			{
    'moussaKam/mbarthez': 1024,
    'moussaKam/barthez': 1024,
    'moussaKam/barthez-orangesum-title': 1024,
}

a_     =			'▁'






class _UpperCamelCase							(							__A      ):
			'''simple docstring'''







			lowerCamelCase__							=VOCAB_FILES_NAMES
			lowerCamelCase__							=PRETRAINED_VOCAB_FILES_MAP
			lowerCamelCase__							=PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			lowerCamelCase__							=['input_ids', 'attention_mask']
			lowerCamelCase__							=BarthezTokenizer
			def __init__(	self							:       List[Any]					,					a							:       Union[str, Any]=None					,					a							:       Any=None					,					a							:       Optional[int]="<s>"					,					a							:       Optional[Any]="</s>"					,					a							:       Any="</s>"					,					a							:       List[Any]="<s>"					,					a							:       str="<unk>"					,					a							:       Tuple="<pad>"					,					a							:       int="<mask>"					,					**a							:       Union[str, Any]					,					)							->				List[str]:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE      :					Tuple    =				AddedToken(a					,					lstrip=a					,					rstrip=a		) if isinstance(a					,					a		) else mask_token

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

				SCREAMING_SNAKE_CASE      :					List[Any]    =				vocab_file
				SCREAMING_SNAKE_CASE      :					Dict    =				False if not self.vocab_file else True
			def 							__UpperCamelCase       (	self							:       Any					,					a							:       List[int]					,					a							:       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]
				SCREAMING_SNAKE_CASE      :					int    =				[self.cls_token_id]
				SCREAMING_SNAKE_CASE      :					List[str]    =				[self.sep_token_id]
				return cls + token_ids_a + sep + sep + token_ids_a + sep
			def 							__UpperCamelCase       (	self							:       str					,					a							:       List[int]					,					a							:       Optional[List[int]] = None		)							->				List[int]:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE      :					int    =				[self.sep_token_id]
				SCREAMING_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 							__UpperCamelCase       (	self							:       Union[str, Any]					,					a							:       str					,					a							:       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(a		):
					logger.error(F"Vocabulary path ({save_directory}) should be a directory"		)
					return
				SCREAMING_SNAKE_CASE      :					Optional[Any]    =				os.path.join(
				    a					,					(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]		)

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

				return (out_vocab_file,)

"""simple docstring"""





def 	__a     (		__lowerCamelCase,		__lowerCamelCase,		__lowerCamelCase  ):
   return round(float(moles / volume  ) * nfactor  )







def 	__a     (		__lowerCamelCase,		__lowerCamelCase,		__lowerCamelCase  ):
   return round(float((moles * 0.0821 * temperature) / (volume)  )  )







def 	__a     (		__lowerCamelCase,		__lowerCamelCase,		__lowerCamelCase  ):
   return round(float((moles * 0.0821 * temperature) / (pressure)  )  )







def 	__a     (		__lowerCamelCase,		__lowerCamelCase,		__lowerCamelCase  ):
   return round(float((pressure * volume) / (0.0821 * moles)  )  )


if __name__ == "__main__":
    import doctest

    doctest.testmod()


