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_	     =     None


lowerCAmelCase_	     =     logging.get_logger(__name__)


lowerCAmelCase_	     =     '''▁'''

lowerCAmelCase_	     =     {'''vocab_file''': '''spiece.model''', '''tokenizer_file''': '''tokenizer.json'''}

lowerCAmelCase_	     =     {
    '''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_	     =     {
    '''google/reformer-crime-and-punishment''': 52_42_88,
}





class      snake_case_       (		__A ):







			'''simple docstring'''

			SCREAMING_SNAKE_CASE					:       List[Any]						      =    VOCAB_FILES_NAMES
			SCREAMING_SNAKE_CASE					:       List[str]						      =    PRETRAINED_VOCAB_FILES_MAP
			SCREAMING_SNAKE_CASE					:       Optional[int]						      =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			SCREAMING_SNAKE_CASE					:       Union[str, Any]						      =    ["input_ids", "attention_mask"]
			SCREAMING_SNAKE_CASE					:       Dict						      =    ReformerTokenizer







			def __init__(					self			:    Optional[Any]							,       _UpperCamelCase			:    Dict=None							,       _UpperCamelCase			:    Union[str, Any]=None							,       _UpperCamelCase			:    Union[str, Any]="</s>"							,       _UpperCamelCase			:    List[str]="<unk>"							,       _UpperCamelCase			:    Any=[]							,       **_UpperCamelCase			:    Optional[int]							,       )				->Union[str, Any]:
									super().__init__(
									    _UpperCamelCase							,       tokenizer_file=_UpperCamelCase							,       eos_token=_UpperCamelCase							,       unk_token=_UpperCamelCase							,       additional_special_tokens=_UpperCamelCase							,       **_UpperCamelCase							,       )

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







			def     snake_case__(					self			:    Any							,       _UpperCamelCase			:    str							,       _UpperCamelCase			:    Optional[str] = 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(_UpperCamelCase							):
															logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''							)
															return
									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,)


def   __SCREAMING_SNAKE_CASE (SCREAMING_SNAKE_CASE__	):
						snake_case_       =     5381
						for x in s:
												snake_case_       =     ((hash_value << 5) + hash_value) + ord(SCREAMING_SNAKE_CASE__	)
						return hash_value & 0xFF_FF_FF_FF