


"""simple docstring"""


from __future__ import annotations






def    a__       ( __lowercase      )		->		list[int]:
				if not list_of_ints:
								return []

				if min(__lowercase      ) < 0:
								raise ValueError("All numbers must be positive"      )

				_A         =	max(len(bin(__lowercase      )[2:]      ) for x in list_of_ints      )
				return _msd_radix_sort(__lowercase   ,	__lowercase      )






def    a__       ( __lowercase   ,	__lowercase      )		->		list[int]:
				if bit_position == 0 or len(__lowercase      ) in [0, 1]:
								return list_of_ints

				_A         =	[]
				_A         =	[]
				# Split numbers based on bit at bit_position from the right
				for number in list_of_ints:
								if (number >> (bit_position - 1)) & 1:
												# number has a one at bit bit_position
												ones.append(__lowercase      )
								else:
												# number has a zero at bit bit_position
												zeros.append(__lowercase      )

    # recursively split both lists further
				_A         =	_msd_radix_sort(__lowercase   ,	bit_position - 1      )
				_A         =	_msd_radix_sort(__lowercase   ,	bit_position - 1      )

				# recombine lists
				_A         =	zeros
				res.extend(__lowercase      )

				return res






def    a__       ( __lowercase      )		->		int:
				_A         =	len(__lowercase      )
				if not list_of_ints or length == 1:
								return

				if min(__lowercase      ) < 0:
								raise ValueError("All numbers must be positive"      )

				_A         =	max(len(bin(__lowercase      )[2:]      ) for x in list_of_ints      )
				_msd_radix_sort_inplace(__lowercase   ,	__lowercase   ,	0   ,	__lowercase      )






def    a__       ( __lowercase   ,	__lowercase   ,	__lowercase   ,	__lowercase      )		->		Union[str, Any]:
				if bit_position == 0 or end_index - begin_index <= 1:
								return

				bit_position -= 1

				_A         =	begin_index
				_A         =	end_index - 1
				while i <= j:
								_A         =	False
								if not (list_of_ints[i] >> bit_position) & 1:
												# found zero at the beginning
												i += 1
												_A         =	True
								if (list_of_ints[j] >> bit_position) & 1:
												# found one at the end
												j -= 1
												_A         =	True

								if changed:
												continue

								_A     ,						_A         =	list_of_ints[j], list_of_ints[i]
								j -= 1
								if j != i:
												i += 1

				_msd_radix_sort_inplace(__lowercase   ,	__lowercase   ,	__lowercase   ,	__lowercase      )
				_msd_radix_sort_inplace(__lowercase   ,	__lowercase   ,	__lowercase   ,	__lowercase      )


if __name__ == "__main__":
		import doctest

		doctest.testmod()



"""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:
		a_											=			None


a_											=			logging.get_logger(__name__)


a_											=			"▁"

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

a_											=			{
    "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"
        )
    },
}

a_											=			{
    "google/reformer-crime-and-punishment": 52_42_88,
}
class snake_case					(     _UpperCamelCase):
		__UpperCamelCase							=	VOCAB_FILES_NAMES
		__UpperCamelCase							=	PRETRAINED_VOCAB_FILES_MAP
		__UpperCamelCase							=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		__UpperCamelCase							=	['input_ids', 'attention_mask']
		__UpperCamelCase							=	ReformerTokenizer







		def __init__(    self					:				Dict			,      a__					:				List[Any]=None			,      a__					:				int=None			,      a__					:				int="</s>"			,      a__					:				List[Any]="<unk>"			,      a__					:				Optional[Any]=[]			,      **a__					:				Tuple			,      )				->  Tuple:





						'''simple docstring'''







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

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







		def        a_       (    self					:				Any			,      a__					:				str			,      a__					:				Optional[str] = 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
						_A         =	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,)