






'''simple docstring'''


import os
from shutil import copyfile
from typing import Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
					from .tokenization_reformer import ReformerTokenizer
else:
					lowerCamelCase_					:			Any     						=				None


lowerCamelCase_					:			Tuple     						=				logging.get_logger(__name__)


lowerCamelCase_					:			Union[str, Any]     						=				'''▁'''

lowerCamelCase_					:			List[Any]     						=				{'''vocab_file''': '''spiece.model''', '''tokenizer_file''': '''tokenizer.json'''}

lowerCamelCase_					:			List[Any]     						=				{
    '''vocab_file''': {
        '''google/reformer-crime-and-punishment''': (
            '''https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/spiece.model'''
        )
    },
    '''tokenizer_file''': {
        '''google/reformer-crime-and-punishment''': (
            '''https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/tokenizer.json'''
        )
    },
}

lowerCamelCase_					:			List[str]     						=				{
    '''google/reformer-crime-and-punishment''': 524288,
}
class  _SCREAMING_SNAKE_CASE				(		SCREAMING_SNAKE_CASE						):


			'''simple docstring'''





			__a				:				str         =       VOCAB_FILES_NAMES
			__a				:				Tuple         =       PRETRAINED_VOCAB_FILES_MAP
			__a				:				Dict         =       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			__a				:				int         =       ["input_ids", "attention_mask"]
			__a				:				Tuple         =       ReformerTokenizer






			def __init__( self				:    Any			,   lowercase				:    Tuple=None			,   lowercase				:    Optional[int]=None			,   lowercase				:    str="</s>"			,   lowercase				:    Dict="<unk>"			,   lowercase				:    Optional[int]=[]			,   **lowercase				:    Optional[int]			,   )				->     int:

									'''simple docstring'''







									super().__init__(
									    lowercase			,   tokenizer_file=lowercase			,   eos_token=lowercase			,   unk_token=lowercase			,   additional_special_tokens=lowercase			,   **lowercase			,   )

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







			def 					A   ( self				:    Optional[int]			,   lowercase				:    str			,   lowercase				:    Optional[str] = None      )				->     Tuple[str]:

									'''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__       =			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,)








'''simple docstring'''


lowerCamelCase_					:			List[Any]     						=				{0: [1, 2], 1: [0, 3], 2: [0], 3: [1], 4: [5, 6], 5: [4, 6], 6: [4, 5]}

lowerCamelCase_					:			Tuple     						=				{0: [1, 2, 3], 1: [0, 3], 2: [0], 3: [0, 1], 4: [], 5: []}







def 						__magic_name__(			_A    ,   _A    ,   _A       ):
						'''simple docstring'''





						UpperCamelCase__       =			True
						UpperCamelCase__       =			[]

						for neighbour in graph[vert]:
												if not visited[neighbour]:
																		connected_verts += dfs(_A    ,   _A    ,   _A       )

						return [vert, *connected_verts]







def 						__magic_name__(			_A       ):
						'''simple docstring'''





						UpperCamelCase__       =			len(_A       )
						UpperCamelCase__       =			graph_size * [False]
						UpperCamelCase__       =			[]

						for i in range(_A       ):
												if not visited[i]:
																		UpperCamelCase__       =			dfs(_A    ,   _A    ,   _A       )
																		components_list.append(_A       )

						return components_list


if __name__ == "__main__":
					import doctest

					doctest.testmod()
