



'''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     :   Dict		    =     None


__lowerCAmelCase     :   Tuple		    =     logging.get_logger(__name__)


__lowerCAmelCase     :   Tuple		    =     """▁"""

__lowerCAmelCase     :   Tuple		    =     {"""vocab_file""": """spiece.model""", """tokenizer_file""": """tokenizer.json"""}

__lowerCAmelCase     :   Optional[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     :   int		    =     {
    """google/reformer-crime-and-punishment""": 524_288,
}

class 			__magic_name__		(					snake_case__     ):
							lowerCAmelCase :					str            =      VOCAB_FILES_NAMES
							lowerCAmelCase :					List[str]            =      PRETRAINED_VOCAB_FILES_MAP
							lowerCAmelCase :					List[str]            =      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							lowerCAmelCase :					Tuple            =      ['input_ids', 'attention_mask']
							lowerCAmelCase :					Tuple            =      ReformerTokenizer







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

									_a  :   Optional[int]				 =							vocab_file
									_a  :   int				 =							False if not self.vocab_file else True







							def 							__lowercase    (							self      : Any			,_UpperCAmelCase      : str			,_UpperCAmelCase      : Optional[str] = None	):
									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
									_a  :   int				 =							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,)









'''simple docstring'''

from __future__ import annotations

class 			__magic_name__		:







							def __init__(							self      : List[Any]			,_UpperCAmelCase      : int	):
									_a  :   Tuple				 =							value
									_a  :   Node | None				 =							None
									_a  :   Node | None				 =							None

class 			__magic_name__		:
							lowerCAmelCase :					int







							def __init__(							self      : Union[str, Any]	):
									_a  :   Tuple				 =							0







							def 							__lowercase    (							self      : Tuple			,_UpperCAmelCase      : Node | None			,_UpperCAmelCase      : int	):
									if node is None:
											return

									if path_sum == self.target:
											self.paths += 1

									if node.left:
											self.depth_first_search(node.left			,path_sum + node.left.value	)
									if node.right:
											self.depth_first_search(node.right			,path_sum + node.right.value	)







							def 							__lowercase    (							self      : Union[str, Any]			,_UpperCAmelCase      : Node | None			,_UpperCAmelCase      : int | None = None	):
									if node is None:
											return 0
									if target is not None:
											_a  :   Any				 =							target

									self.depth_first_search(_UpperCAmelCase			,node.value	)
									self.path_sum(node.left	)
									self.path_sum(node.right	)

									return self.paths


if __name__ == "__main__":
							import doctest

							doctest.testmod()




