


'''simple docstring'''






import os
import unittest

from transformers import LayoutLMTokenizer, LayoutLMTokenizerFast
from transformers.models.layoutlm.tokenization_layoutlm import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin






@require_tokenizers
class   __snake_case			(  _SCREAMING_SNAKE_CASE      ,unittest.TestCase):







    """simple docstring"""



    lowercase  					=   LayoutLMTokenizer
    lowercase  					=   LayoutLMTokenizerFast
    lowercase  					=   True
    lowercase  					=   True

    def __lowercase  (  self       :    List[Any]						)  ->    Optional[int]:
      super().setUp()

      lowerCAmelCase_     : Dict     =  [
          """[UNK]""",
          """[CLS]""",
          """[SEP]""",
          """want""",
          """##want""",
          """##ed""",
          """wa""",
          """un""",
          """runn""",
          """##ing""",
          """,""",
          """low""",
          """lowest""",
      ]
      lowerCAmelCase_     : List[Any]     =  os.path.join(self.tmpdirname       ,		VOCAB_FILES_NAMES["""vocab_file"""]						)
      with open(self.vocab_file       ,		"""w"""       ,		encoding="""utf-8"""						) as vocab_writer:
        vocab_writer.write("""""".join([x + """\n""" for x in vocab_tokens]						)						)

    def __lowercase  (  self       :    Dict       ,		**lowerCamelCase       :    Optional[Any]						)  ->    str:
      return LayoutLMTokenizer.from_pretrained(self.tmpdirname       ,		**lowerCamelCase						)

    def __lowercase  (  self       :    Union[str, Any]       ,		lowerCamelCase       :    List[str]						)  ->    Optional[Any]:
      lowerCAmelCase_     : Optional[int]     =  """UNwant\u00E9d,running"""
      lowerCAmelCase_     : Optional[int]     =  """unwanted, running"""
      return input_text, output_text

    def __lowercase  (  self       :    List[str]						)  ->    List[str]:
      lowerCAmelCase_     : Optional[Any]     =  self.tokenizer_class(self.vocab_file						)

      lowerCAmelCase_     : Dict     =  tokenizer.tokenize("""UNwant\u00E9d,running"""						)
      self.assertListEqual(lowerCamelCase       ,		["""un""", """##want""", """##ed""", """,""", """runn""", """##ing"""]						)
      self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCamelCase						)       ,		[7, 4, 5, 10, 8, 9]						)





    def __lowercase  (  self       :    Optional[Any]						)  ->    Union[str, Any]:
      pass







'''simple docstring'''






from __future__ import annotations







def 							UpperCamelCase_     (       A__   :  list				,       A__   :  int				,       A__   :  int				,       A__   :  int   ):
  '''simple docstring'''





  lowerCAmelCase_     : int     =  []
  lowerCAmelCase_,				lowerCAmelCase_     : Any     =  input_list[low:mid], input_list[mid : high + 1]
  while left and right:
    result.append((left if left[0] <= right[0] else right).pop(0   )   )
  lowerCAmelCase_     : Dict     =  result + left + right
  return input_list







def 							UpperCamelCase_     (       A__   :  list   ):
  '''simple docstring'''





  if len(A__   ) <= 1:
    return input_list
  lowerCAmelCase_     : str     =  list(A__   )

  # iteration for two-way merging
  lowerCAmelCase_     : Dict     =  2
  while p <= len(A__   ):
    # getting low, high and middle value for merge-sort of single list
    for i in range(0				,       len(A__   )				,       A__   ):
      lowerCAmelCase_     : Tuple     =  i
      lowerCAmelCase_     : List[str]     =  i + p - 1
      lowerCAmelCase_     : Optional[Any]     =  (low + high + 1) // 2
      lowerCAmelCase_     : List[str]     =  merge(A__				,       A__				,       A__				,       A__   )
    # final merge of last two parts
    if p * 2 >= len(A__   ):
      lowerCAmelCase_     : Union[str, Any]     =  i
      lowerCAmelCase_     : Dict     =  merge(A__				,       0				,       A__				,       len(A__   ) - 1   )
      break
    p *= 2

  return input_list


if __name__ == "__main__":
  __A   :    int											= input("Enter numbers separated by a comma:\n").strip()
  if user_input == "":
    __A   :    str											= []
  else:
    __A   :    Optional[Any]											= [int(item.strip()) for item in user_input.split(",")]
  print(iter_merge_sort(unsorted))



