
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:
				snake_case				:	Union[str, Any]							   =						None


snake_case				:	Union[str, Any]							   =						logging.get_logger(__name__)


snake_case				:	Union[str, Any]							   =						"▁"

snake_case				:	int							   =						{"vocab_file": "spiece.model", "tokenizer_file": "tokenizer.json"}

snake_case				:	Optional[int]							   =						{
    "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"
        )
    },
}

snake_case				:	Optional[Any]							   =						{
    "google/reformer-crime-and-punishment": 524_288,
}





class    _snake_case      (  snake_case       ):
			UpperCamelCase__					   =					VOCAB_FILES_NAMES
			UpperCamelCase__					   =					PRETRAINED_VOCAB_FILES_MAP
			UpperCamelCase__					   =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			UpperCamelCase__					   =					["input_ids", "attention_mask"]
			UpperCamelCase__					   =					ReformerTokenizer







			def __init__(       self		,     _a=None		,     _a=None		,     _a="</s>"		,     _a="<unk>"		,     _a=[]		,     **_a		,     ):
				super().__init__(
				    _a		,     tokenizer_file=_a		,     eos_token=_a		,     unk_token=_a		,     additional_special_tokens=_a		,     **_a		,     )

				__magic_name__	:	Any			     =  vocab_file
				__magic_name__	:	List[Any]			     =  False if not self.vocab_file else True







			def     SCREAMING_SNAKE_CASE					(       self		,     _a		,     _a = 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(_a	):
					logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''	)
					return
				__magic_name__	:	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,)







from __future__ import annotations

snake_case				:	List[str]							   =						"Alexander Joslin"






def 						lowerCAmelCase_		(      _snake_case   :						int     )       ->	int:







	'''simple docstring'''


	if number <= 0:
		__magic_name__	:	int			     =  F'''n must be greater than 0. Got n = {number}'''
		raise ValueError(_snake_case     )

	__magic_name__	:	List[str]			     =  [number + 1] * (number + 1)

	# starting position
	__magic_name__	:	Any			     =  0
	for i in range(1   ,     _snake_case     ):
		__magic_name__	:	Optional[int]			     =  min(table[i + 1]   ,     table[i] + 1     )
		# check if out of bounds
		if i * 2 <= number:
			__magic_name__	:	str			     =  min(table[i * 2]   ,     table[i] + 1     )
		# check if out of bounds
		if i * 3 <= number:
			__magic_name__	:	Any			     =  min(table[i * 3]   ,     table[i] + 1     )
	return table[number]


if __name__ == "__main__":
				import doctest

				doctest.testmod()
