


"""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       :	int  		=						None

UpperCAmelCase       :	List[Any]  		=						logging.get_logger(__name__)

UpperCAmelCase       :	List[str]  		=						{'vocab_file': 'sentencepiece.bpe.model', 'tokenizer_file': 'tokenizer.json'}

UpperCAmelCase       :	List[Any]  		=						{
    '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       :	Tuple  		=						{
    'moussaKam/mbarthez': 1024,
    'moussaKam/barthez': 1024,
    'moussaKam/barthez-orangesum-title': 1024,
}

UpperCAmelCase       :	Optional[int]  		=						'▁'





class 	lowerCamelCase__  (	__a							):







					"""simple docstring"""


					__a      			=				VOCAB_FILES_NAMES
					__a      			=				PRETRAINED_VOCAB_FILES_MAP
					__a      			=				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					__a      			=				['''input_ids''', '''attention_mask''']
					__a      			=				BarthezTokenizer






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






												__UpperCAmelCase  :		int 				=   AddedToken(_lowercase					,			lstrip=_lowercase					,			rstrip=_lowercase    ) if isinstance(_lowercase					,			_lowercase    ) else mask_token

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

												__UpperCAmelCase  :		List[Any] 				=   vocab_file
												__UpperCAmelCase  :		int 				=   False if not self.vocab_file else True






					def lowerCamelCase__				(			self       :					Tuple					,			UpperCamelCase       :					List[int]					,			UpperCamelCase       :					Optional[List[int]] = None    ):
												'''simple docstring'''






												if token_ids_a is None:
																			return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
												__UpperCAmelCase  :		Union[str, Any] 				=   [self.cls_token_id]
												__UpperCAmelCase  :		Dict 				=   [self.sep_token_id]
												return cls + token_ids_a + sep + sep + token_ids_a + sep






					def lowerCamelCase__				(			self       :					List[str]					,			UpperCamelCase       :					List[int]					,			UpperCamelCase       :					Optional[List[int]] = None    ):
												'''simple docstring'''






												__UpperCAmelCase  :		Union[str, Any] 				=   [self.sep_token_id]
												__UpperCAmelCase  :		str 				=   [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       :					Dict					,			UpperCamelCase       :					str					,			UpperCamelCase       :					Optional[str] = None    ):
												'''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(_lowercase    ):
																			logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''    )
																			return
												__UpperCAmelCase  :		Dict 				=   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 sympy import diff, lambdify, symbols
from sympy.functions import *  # noqa: F403




def    lowerCAmelCase_  (		lowercase:				str	,       lowercase:				complex	,       lowercase:				str = "x"	,       lowercase:				float = 10**-10	,       lowercase:				int = 1	,       )     ->					complex:







 '''simple docstring'''
 _UpperCamelCase:  Any    						=			symbols(lowercase		)
 _UpperCamelCase:  str    						=			lambdify(lowercase	,       lowercase		)
 _UpperCamelCase:  str    						=			lambdify(lowercase	,       diff(lowercase	,       lowercase		)		)

 _UpperCamelCase:  Optional[int]    						=			starting_point

 while True:
  if diff_function(lowercase		) != 0:
   _UpperCamelCase:  int    						=			prev_guess - multiplicity * func(lowercase		) / diff_function(
       lowercase		)
  else:
   raise ZeroDivisionError('''Could not find root'''		) from None

  # Precision is checked by comparing the difference of consecutive guesses
  if abs(next_guess - prev_guess		) < precision:
   return next_guess

  _UpperCamelCase:  Any    						=			next_guess


# Let's Execute
if __name__ == "__main__":
  # Find root of trigonometric function
  # Find value of pi
  print(f"""The root of sin(x) = 0 is {newton_raphson('sin(x)', 2)}""")

  # Find root of polynomial
  # Find fourth Root of 5
  print(f"""The root of x**4 - 5 = 0 is {newton_raphson('x**4 -5', 0.4 +5J)}""")

  # Find value of e
  print(
      '''The root of log(y) - 1 = 0 is ''',
      f"""{newton_raphson('log(y) - 1', 2, variable='y')}""",
  )

  # Exponential Roots
  print(
      '''The root of exp(x) - 1 = 0 is''',
      f"""{newton_raphson('exp(x) - 1', 1_0, precision=0.0_0_5)}""",
  )

  # Find root of cos(x)
  print(f"""The root of cos(x) = 0 is {newton_raphson('cos(x)', 0)}""")