'''simple docstring'''







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_      	=	None

UpperCamelCase_      	=	logging.get_logger(__name__)

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

UpperCamelCase_      	=	{
    '''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_      	=	{
    '''moussaKam/mbarthez''': 10_24,
    '''moussaKam/barthez''': 10_24,
    '''moussaKam/barthez-orangesum-title''': 10_24,
}

UpperCamelCase_      	=	'''▁'''




class _SCREAMING_SNAKE_CASE(							_SCREAMING_SNAKE_CASE					):
						A_			:							int     		= VOCAB_FILES_NAMES
						A_			:							Any     		= PRETRAINED_VOCAB_FILES_MAP
						A_			:							Optional[int]     		= PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						A_			:							Dict     		= ['input_ids', 'attention_mask']
						A_			:							Optional[Any]     		= BarthezTokenizer




						def __init__(    self :       Dict							,							UpperCamelCase_ :       Optional[Any]=None							,							UpperCamelCase_ :       Dict=None							,							UpperCamelCase_ :       Dict="<s>"							,							UpperCamelCase_ :       Optional[Any]="</s>"							,							UpperCamelCase_ :       int="</s>"							,							UpperCamelCase_ :       Optional[int]="<s>"							,							UpperCamelCase_ :       Union[str, Any]="<unk>"							,							UpperCamelCase_ :       List[str]="<pad>"							,							UpperCamelCase_ :       Any="<mask>"							,							**UpperCamelCase_ :       Union[str, Any]							,							)     ->				Any:
													# Mask token behave like a normal word, i.e. include the space before it
													SCREAMING_SNAKE_CASE__     :List[Any]						    = AddedToken(SCREAMING_SNAKE_CASE_							,							lstrip=SCREAMING_SNAKE_CASE_							,							rstrip=SCREAMING_SNAKE_CASE_      ) if isinstance(SCREAMING_SNAKE_CASE_							,							SCREAMING_SNAKE_CASE_      ) else mask_token

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

													SCREAMING_SNAKE_CASE__     :Any						    = vocab_file
													SCREAMING_SNAKE_CASE__     :Any						    = False if not self.vocab_file else True




						def      __lowerCamelCase       (    self :       Optional[Any]							,							UpperCamelCase_ :       List[int]							,							UpperCamelCase_ :       Optional[List[int]] = None      )     ->				List[int]:

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




						def      __lowerCamelCase       (    self :       int							,							UpperCamelCase_ :       List[int]							,							UpperCamelCase_ :       Optional[List[int]] = None      )     ->				List[int]:
													SCREAMING_SNAKE_CASE__     :List[str]						    = [self.sep_token_id]
													SCREAMING_SNAKE_CASE__     :Optional[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      __lowerCamelCase       (    self :       Optional[Any]							,							UpperCamelCase_ :       str							,							UpperCamelCase_ :       Optional[str] = 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(SCREAMING_SNAKE_CASE_      ):
																				logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''      )
																				return
													SCREAMING_SNAKE_CASE__     :Any						    = os.path.join(
													    SCREAMING_SNAKE_CASE_							,							(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']      )

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

													return (out_vocab_file,)








from __future__ import annotations

from math import pi, sqrt




def 							a		(				snake_case__:   float		,  snake_case__:   float   ):


				'''simple docstring'''

				if inductance <= 0:
								raise ValueError('''Inductance cannot be 0 or negative'''   )

				elif capacitance <= 0:
								raise ValueError('''Capacitance cannot be 0 or negative'''   )

				else:
								return (
								    "Resonant frequency",
								    float(1 / (2 * pi * (sqrt(inductance * capacitance   )))   ),
								)


if __name__ == "__main__":
						import doctest

						doctest.testmod()




