


'''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:
		__UpperCAmelCase :    Union[str, Any]       =							None


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

__UpperCAmelCase :    Optional[int]       =							{'''vocab_file''': '''sentencepiece.bpe.model''', '''tokenizer_file''': '''tokenizer.json'''}

__UpperCAmelCase :    Optional[Any]       =							{
    '''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''',
    },
}

__UpperCAmelCase :    Dict       =							{
    '''camembert-base''': 512,
}

__UpperCAmelCase :    Tuple       =							'''▁'''




class 		a__    (							a__  ):





							'''simple docstring'''






							lowercase__      :       str     						=				VOCAB_FILES_NAMES
							lowercase__      :       Optional[Any]     						=				PRETRAINED_VOCAB_FILES_MAP
							lowercase__      :       str     						=				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							lowercase__      :       Tuple     						=				["input_ids", "attention_mask"]
							lowercase__      :       Any     						=				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_ ,   )	->							Dict:
														# Mask token behave like a normal word, i.e. include the space before it
														lowerCAmelCase__	       =     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_ ,   )

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







							def   __SCREAMING_SNAKE_CASE							(		self ,   lowerCamelCase_ ,   lowerCamelCase_ = None       )	->							List[int]:

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







							def   __SCREAMING_SNAKE_CASE							(		self ,   lowerCamelCase_ ,   lowerCamelCase_ = None       )	->							List[int]:
														lowerCAmelCase__	       =     [self.sep_token_id]
														lowerCAmelCase__	       =     [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   __SCREAMING_SNAKE_CASE							(		self ,   lowerCamelCase_ ,   lowerCamelCase_ = 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(lowerCamelCase_       ):
																					logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""       )
																					return
														lowerCAmelCase__	       =     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 __future__ import annotations

import math
from collections.abc import Callable


def  _snake_case       (					A			,   A			,   A			,   A = 100			,   )						->   float:
							lowerCAmelCase__	       =     x_start
							lowerCAmelCase__	       =     fnc(A	)
							lowerCAmelCase__	       =     0.0

							for _ in range(A	):
														# Approximates curve as a sequence of linear lines and sums their length
														lowerCAmelCase__	       =     (x_end - x_start) / steps + xa
														lowerCAmelCase__	       =     fnc(A	)
														length += math.hypot(xa - xa			,   fxa - fxa	)

														# Increment step
														lowerCAmelCase__	       =     xa
														lowerCAmelCase__	       =     fxa

							return length


if __name__ == "__main__":


		def  _snake_case       (					A	)						->   List[Any]:
									return math.sin(10 * x	)

		print('''f(x) = sin(10 * x)''')
		print('''The length of the curve from x = -10 to x = 10 is:''')
		__UpperCAmelCase       =							10
		while i <= 100_000:
				print(f"""With {i} steps: {line_length(f, -10, 10, i)}""")
				i *= 10