




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_     :    Any      =			None


lowercase_     :    Dict      =			logging.get_logger(__name__)


lowercase_     :    int      =			'▁'

lowercase_     :    Optional[int]      =			{'vocab_file': 'spiece.model', 'tokenizer_file': 'tokenizer.json'}

lowercase_     :    List[str]      =			{
    '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    __lowerCAmelCase			(	_a			):
   snake_case_				:			int								=					VOCAB_FILES_NAMES
   snake_case_				:			Tuple								=					PRETRAINED_VOCAB_FILES_MAP
   snake_case_				:			Union[str, Any]								=					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   snake_case_				:			Any								=					["input_ids", "attention_mask"]
   snake_case_				:			Optional[Any]								=					ReformerTokenizer







   def __init__(	self   :      Optional[Any]   ,   snake_case__   :      Union[str, Any]=None   ,   snake_case__   :      str=None   ,   snake_case__   :      str="</s>"   ,   snake_case__   :      Union[str, Any]="<unk>"   ,   snake_case__   :      Dict=[]   ,   **snake_case__   :      List[str]   ,   ):




         """simple docstring"""


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

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







   def UpperCamelCase      (	self   :      int   ,   snake_case__   :      str   ,   snake_case__   :      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(snake_case__				):
               logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""				)
               return
         _UpperCAmelCase													=					os.path.join(
             snake_case__   ,   (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]				)

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

         return (out_vocab_file,)










from __future__ import annotations


def 							__SCREAMING_SNAKE_CASE  (      snake_case_						):

						'''simple docstring'''


						if len(snake_case_						) == 0:
												raise ValueError("find_max() arg is an empty sequence"						)
						_UpperCAmelCase													=					nums[0]
						for x in nums:
												if x > max_num:
																		_UpperCAmelCase													=					x
						return max_num


if __name__ == "__main__":
				import doctest

				doctest.testmod(verbose=True)




