
'''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_camembert import CamembertTokenizer
else:
					lowercase					:							Union[str, Any]   =      None


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

lowercase					:							Dict   =      {"vocab_file": "sentencepiece.bpe.model", "tokenizer_file": "tokenizer.json"}

lowercase					:							int   =      {
    "vocab_file": {
        "camembert-base": "https://huggingface.co/camembert-base/resolve/main/sentencepiece.bpe.model",
    },
    "tokenizer_file": {
        "camembert-base": "https://huggingface.co/camembert-base/resolve/main/tokenizer.json",
    },
}

lowercase					:							int   =      {
    "camembert-base": 512,
}

lowercase					:							int   =      "▁"


class 		__UpperCAmelCase   (      __A		):
							__lowercase   	= VOCAB_FILES_NAMES
							__lowercase   	= PRETRAINED_VOCAB_FILES_MAP
							__lowercase   	= PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							__lowercase   	= ["""input_ids""", """attention_mask"""]
							__lowercase   	= CamembertTokenizer


							def __init__( self					,     lowerCAmelCase_=None					,     lowerCAmelCase_=None					,     lowerCAmelCase_="<s>"					,     lowerCAmelCase_="</s>"					,     lowerCAmelCase_="</s>"					,     lowerCAmelCase_="<s>"					,     lowerCAmelCase_="<unk>"					,     lowerCAmelCase_="<pad>"					,     lowerCAmelCase_="<mask>"					,     lowerCAmelCase_=["<s>NOTUSED", "</s>NOTUSED"]					,     **lowerCAmelCase_					,     ):





								"""simple docstring"""






								_snake_case     		=	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_					,     sep_token=lowerCAmelCase_					,     cls_token=lowerCAmelCase_					,     unk_token=lowerCAmelCase_					,     pad_token=lowerCAmelCase_					,     mask_token=lowerCAmelCase_					,     additional_special_tokens=lowerCAmelCase_					,     **lowerCAmelCase_					,     )

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


							def 				lowerCamelCase       ( self					,     lowerCAmelCase_					,     lowerCAmelCase_ = None						):





								"""simple docstring"""






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


							def 				lowerCamelCase       ( self					,     lowerCAmelCase_					,     lowerCAmelCase_ = None						):





								"""simple docstring"""






								_snake_case     		=	[self.sep_token_id]
								_snake_case     		=	[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					,     lowerCAmelCase_					,     lowerCAmelCase_ = 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(lowerCAmelCase_						):
									logger.error(F'Vocabulary path ({save_directory}) should be a directory'						)
									return
								_snake_case     		=	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,)






'''simple docstring'''







from sympy import diff, lambdify, symbols
from sympy.functions import *  # noqa: F403







def        SCREAMING_SNAKE_CASE__			(     __A    ,       __A    ,       __A = "x"    ,       __A = 10**-10    ,       __A = 1    ,       ) ->			complex:
	_snake_case     		=	symbols(__A			)
	_snake_case     		=	lambdify(__A    ,       __A			)
	_snake_case     		=	lambdify(__A    ,       diff(__A    ,       __A			)			)

	_snake_case     		=	starting_point

	while True:
		if diff_function(__A			) != 0:
			_snake_case     		=	prev_guess - multiplicity * func(__A			) / diff_function(
			    __A			)
		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

		_snake_case     		=	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", 10, precision=0.005)}''',
					)

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

