


'''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:
				__lowercase	:   List[str]   		=					None


__lowercase	:   str   		=					logging.get_logger(__name__)


__lowercase	:   Tuple   		=					"""▁"""

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

__lowercase	:   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"""
        )
    },
}

__lowercase	:   Optional[Any]   		=					{
    """google/reformer-crime-and-punishment""": 52_42_88,
}





class _snake_case (			a__ ):
							"""simple docstring"""





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







							def __init__( self      ,					__A=None      ,					__A=None      ,					__A="</s>"      ,					__A="<unk>"      ,					__A=[]      ,					**__A      ,					)  ->str:



											"""simple docstring"""







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

											__lowerCamelCase		:   Dict           =       vocab_file
											__lowerCamelCase		:   int           =       False if not self.vocab_file else True







							def 		__SCREAMING_SNAKE_CASE( self      ,					__A      ,					__A = 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(__A						):
															logger.error(f'Vocabulary path ({save_directory}) should be a directory'						)
															return
											__lowerCamelCase		:   List[Any]           =       os.path.join(
											    __A      ,					(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]						)

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

											return (out_vocab_file,)









'''simple docstring'''




def 				a_							(    lowercase				,    lowercase     )      ->list:






				'''simple docstring'''

				__lowerCamelCase		:   int           =       len(lowercase     )
				__lowerCamelCase		:   int           =       len(lowercase     )
				__lowerCamelCase		:   int           =       (
				    first_input_list_length
				    if first_input_list_length > second_input_list_length
				    else second_input_list_length
				)
				__lowerCamelCase		:   list           =       []
				for char_count in range(lowercase     ):
								if char_count < first_input_list_length:
												output_result_list.append(first_input_list[char_count]     )
								if char_count < second_input_list_length:
												output_result_list.append(second_input_list[char_count]     )

				return output_result_list


if __name__ == "__main__":
				print(alternative_list_arrange(["""A""", """B""", """C"""], [1, 2, 3, 4, 5]), end=""" """)





