






"""simple docstring"""




import random
from typing import Any

def 	__lowerCamelCase      (		snake_case__		)							->  list[Any]:






						"""simple docstring"""





						for _ in range(len(snake_case__		)		):
												_SCREAMING_SNAKE_CASE     				=  random.randint(0	,len(snake_case__		) - 1		)
												_SCREAMING_SNAKE_CASE     				=  random.randint(0	,len(snake_case__		) - 1		)
												_SCREAMING_SNAKE_CASE				,					_SCREAMING_SNAKE_CASE     				=  data[b], data[a]
						return data


if __name__ == "__main__":
		UpperCamelCase			    =     [0, 1, 2, 3, 4, 5, 6, 7]
		UpperCamelCase			    =     ['''python''', '''says''', '''hello''', '''!''']
		print('''Fisher-Yates Shuffle:''')
		print('''List''', integers, strings)
		print('''FY Shuffle''', fisher_yates_shuffle(integers), fisher_yates_shuffle(strings))









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			    =     None


UpperCamelCase			    =     logging.get_logger(__name__)

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

UpperCamelCase			    =     {
    '''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			    =     {
    '''camembert-base''': 512,
}

UpperCamelCase			    =     '''▁'''



class 				__UpperCAmelCase		(_UpperCAmelCase   ):
			__snake_case    :				int									=							VOCAB_FILES_NAMES
			__snake_case    :				Any									=							PRETRAINED_VOCAB_FILES_MAP
			__snake_case    :				Optional[Any]									=							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			__snake_case    :				Dict									=							["input_ids", "attention_mask"]
			__snake_case    :				Tuple									=							CamembertTokenizer







			def __init__(     self:  List[Any]				,     UpperCAmelCase_:  Optional[int]=None				,     UpperCAmelCase_:  Tuple=None				,     UpperCAmelCase_:  str="<s>"				,     UpperCAmelCase_:  List[str]="</s>"				,     UpperCAmelCase_:  Dict="</s>"				,     UpperCAmelCase_:  List[Any]="<s>"				,     UpperCAmelCase_:  Dict="<unk>"				,     UpperCAmelCase_:  Any="<pad>"				,     UpperCAmelCase_:  Tuple="<mask>"				,     UpperCAmelCase_:  str=["<s>NOTUSED", "</s>NOTUSED"]				,     **UpperCAmelCase_:  Optional[Any]				,     ):







									'''simple docstring'''




									_SCREAMING_SNAKE_CASE     				=  AddedToken(UpperCAmelCase_				,     lstrip=UpperCAmelCase_				,     rstrip=UpperCAmelCase_					) if isinstance(UpperCAmelCase_				,     UpperCAmelCase_					) else mask_token

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

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







			def 							UpperCamelCase				(     self:  int				,     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]
									_SCREAMING_SNAKE_CASE     				=  [self.cls_token_id]
									_SCREAMING_SNAKE_CASE     				=  [self.sep_token_id]
									return cls + token_ids_a + sep + sep + token_ids_a + sep







			def 							UpperCamelCase				(     self:  List[str]				,     UpperCAmelCase_:  List[int]				,     UpperCAmelCase_:  Optional[List[int]] = None					):







									'''simple docstring'''




									_SCREAMING_SNAKE_CASE     				=  [self.sep_token_id]
									_SCREAMING_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 							UpperCamelCase				(     self:  List[str]				,     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(UpperCAmelCase_					):
															logger.error(F'Vocabulary path ({save_directory}) should be a directory'					)
															return
									_SCREAMING_SNAKE_CASE     				=  os.path.join(
									    UpperCAmelCase_				,     (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]					)

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

									return (out_vocab_file,)

