



def __lowerCAmelCase       (   SCREAMING_SNAKE_CASE_  ,     SCREAMING_SNAKE_CASE_  ,     SCREAMING_SNAKE_CASE_  ,     SCREAMING_SNAKE_CASE_     ):

			if start == end:
						return start if lst[start] > item else start + 1
			if start > end:
						return start

			lowercase__         = (start + end) // 2
			if lst[mid] < item:
						return binary_search(lowercase_  ,     lowercase_  ,     mid + 1  ,     lowercase_     )
			elif lst[mid] > item:
						return binary_search(lowercase_  ,     lowercase_  ,     lowercase_  ,     mid - 1     )
			else:
						return mid



def __lowerCAmelCase       (   SCREAMING_SNAKE_CASE_     ):
			lowercase__         = len(lowercase_     )

			for index in range(1  ,     lowercase_     ):
						lowercase__         = lst[index]
						lowercase__         = binary_search(lowercase_  ,     lowercase_  ,     0  ,     index - 1     )
						lowercase__         = lst[:pos] + [value] + lst[pos:index] + lst[index + 1 :]

			return lst



def __lowerCAmelCase       (   SCREAMING_SNAKE_CASE_  ,     SCREAMING_SNAKE_CASE_     ):

			if not left:
						return right

			if not right:
						return left

			if left[0] < right[0]:
						return [left[0], *merge(left[1:]  ,     lowercase_     )]

			return [right[0], *merge(lowercase_  ,     right[1:]     )]



def __lowerCAmelCase       (   SCREAMING_SNAKE_CASE_     ):
			lowercase__         = len(lowercase_     )
			lowercase__         = [], []
			lowercase__         = [lst[0]]
			lowercase__         = []
			lowercase__         = 1
			while i < length:
						if lst[i] < lst[i - 1]:
									runs.append(lowercase_     )
									lowercase__         = [lst[i]]
						else:
									new_run.append(lst[i]     )
						i += 1
			runs.append(lowercase_     )

			for run in runs:
						sorted_runs.append(insertion_sort(lowercase_     )     )
			for run in sorted_runs:
						lowercase__         = merge(lowercase_  ,     lowercase_     )

			return sorted_array



def __lowerCAmelCase       (   ):
			lowercase__         = [5, 9, 10, 3, -4, 5, 178, 92, 46, -18, 0, 7]
			lowercase__         = tim_sort(lowercase_     )
			print(lowercase_     )


if __name__ == "__main__":
							main()











"""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__      =      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_4288,
}



class    __SCREAMING_SNAKE_CASE			(  _UpperCamelCase      ):







  '''simple docstring'''


  SCREAMING_SNAKE_CASE__							:List[str]		   =    VOCAB_FILES_NAMES
  SCREAMING_SNAKE_CASE__							:Any		   =    PRETRAINED_VOCAB_FILES_MAP
  SCREAMING_SNAKE_CASE__							:List[Any]		   =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  SCREAMING_SNAKE_CASE__							:List[Any]		   =    ["input_ids", "attention_mask"]
  SCREAMING_SNAKE_CASE__							:str		   =    ReformerTokenizer

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

        _UpperCamelCase					:		Dict  =				vocab_file
        _UpperCamelCase					:		Optional[Any]  =				False if not self.vocab_file else True


  def       __SCREAMING_SNAKE_CASE (						self      :				Dict    ,      __a      :				str    ,      __a      :				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(__a		):
              logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''		)
              return
        _UpperCamelCase					:		Optional[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,)
